Academic literature on the topic 'Radio Resources Allocation'
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Journal articles on the topic "Radio Resources Allocation"
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Ma, Lu, Xiangming Wen, Luhan Wang, Zhaoming Lu, Raymond Knopp, and Irfan Ghauri. "A Biological Model for Resource Allocation and User Dynamics in Virtualized HetNet." Wireless Communications and Mobile Computing 2018 (September 27, 2018): 1–11. http://dx.doi.org/10.1155/2018/1745904.
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Virtualization technology is considered an effective measure to enhance resource utilization and interference management via radio resource abstraction in heterogeneous networks (HetNet). The critical challenge in wireless virtualization is virtual resource allocation on which substantial works have been done. However, most existing researches on virtual resource allocation focus on improving total utility. Different from the existing works, we investigate the dynamic-aware virtual radio resource allocation in virtualization based HetNet considering utility and fairness. A virtual radio resource management framework is proposed, where the radio resources of different physical networks are virtualized into a virtual resource pool and mobile virtual network operators (MVNOs) compete for virtual resources from the pool to provide service to users. A virtual radio resource allocation algorithm based on biological model is developed, considering system utility, fairness, and dynamics. Simulation results are provided to verify that the proposed virtual resource allocation algorithm not only converges within a few iterations, but also achieves a better trade-off between total utility and fairness than existing algorithm. Besides, it can also be utilized to analyze the population dynamics of system.
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.., Ishwarlal, and Ankit Saxena. "Design, Simulation and Analysis of Multi-Dimensional Multiple Access (MDMA) Schemes Using MATLAB for Quality of Service (QoS) Enhancement." Journal of Intelligent Systems and Internet of Things 11, no. 2 (2024): 111–28. http://dx.doi.org/10.54216/jisiot.110210.
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To provide better Quality of Service (QoS), which is expected in contemporary 6G wireless networks. We project a MDMA scheme to fulfill UE-specific QoS needs with the aid of multi-dimensional radio resource cost. This method can be successfully called Multi-Dimensional Radio Resource Allocation (MDRA). Specifically, the planned scheme incorporates two novel aspects: for each UE, the choice of user-specific non-orthogonal multiple approach mode whose cost is determined by UE-specific non-orthogonal interference cancellation; and allocating multiple dimensional radio resources for co-existing UEs in dynamic network environment. To reduce the costs of using UE-specific resources, the BS mounts UEs with diverse multi-domain resources. Specific to each UE coalition by taking into consideration restrictions such as the availability of resources, the perceived quality of those resources, and the possibility for use. Every UE that is a part of the coalition has access to the radio resources that it needs, which helps to lower the costs of use while preventing resource-sharing disputes with the other nodes in the coalition. Furthermore, the allocation of multi-dimensional radio resources among co-existing user equipment makes it possible to solve the issue of maximizing the sum of cost-conscious utility. This is done to fulfil UE-specific quality of service needs as well as varied resource circumstances on the user equipment side. The gradient convexity with low complexity approximation and the Lagrange double decomposition approach are used in the development of the solution to this NP-hard issue. The efficacy of the system that we have presented is shown via the use of numerical simulations and a comparison of its performance with that of other methods.
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R G, Umesh, Sushil Kumar G N, Santhosh K, Suraksha M S, and Dr Praveen Kumar K V. "Radio Resource Allocation for 5G Network Using Deep Reinforcement Learning." International Journal for Research in Applied Science and Engineering Technology 11, no. 3 (March 31, 2023): 677–83. http://dx.doi.org/10.22214/ijraset.2023.49468.
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Abstract: Resource allocation is a critical task in 5Gnetworks that determines how network resources are assigned to different devices and services. Traditional methods rely on predefined rules or heuristics, which may not always be optimal. Deep reinforcement learning (DRL)is a promising approach for radio resource allocation in 5Gnetworks as it can learn to optimize resource allocation based on feedback from the network. In DRL, an agent learns to make decisions based on rewards and penalties received from the environment. In radio resource allocation, the agent would learn to allocate resources, such as frequency bands and power levels, to different devices and services to maximize some performance metric, such asthroughput or energy efficiency. The main challenge in applying DRL to radio resource allocation is designing an appropriate reward function that incentivizes the agent to improve the performance metric while avoiding undesirable behavior. Additionally, the radio resource allocation problem is complex, requiring the agent to consider many variables and constraints, such as channel conditions, interference, and QoS requirements. To address this, researchers have proposed various techniques such as hierarchical RL, multi-agent RL, and curriculum learning. Despite the challenges, DRL has shown promising results inradio resource allocation for 5G networks. It has outperformed traditional methods in some scenarios, especially when network conditions are dynamic and unpredictable. However, further research is necessary to explore the scalability and robustness of DRL-based approaches in practical 5G networks. In this method we suggest an algorithm for voice and data carriers in sub-6 GHz and millimeter wave (mmWave) frequencies respectively. The mmWave ranges between 30GHz to 300GHz
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Benmammar, Badr. "Recent Advances on Artificial Intelligence in Cognitive Radio Networks." International Journal of Wireless Networks and Broadband Technologies 9, no. 1 (January 2020): 27–42. http://dx.doi.org/10.4018/ijwnbt.2020010102.
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Cognitive radio is a form of wireless communication that makes decisions about allocating and managing radio resources after detecting its environment and analyzing the parameters of its radio frequency environment. Decision making in cognitive radio can be based on optimization techniques. In this context, machine learning and artificial intelligence are to be used in cognitive radio networks in order to reduce complexity, obtain resource allocation in a reasonable time and improve the user's quality of service. This article presents recent advances on artificial intelligence in cognitive radio networks. The article also categorizes the techniques presented according to the type of learning—supervised or unsupervised—and presents their applications and challenges according to the tasks of the cognitive radio.
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Mathew, Alex. "SliceOptiAI: Smart Resource Allocation for Seamless Network Slicing." International Journal of Computer Science and Mobile Computing 13, no. 1 (January 30, 2024): 82–87. http://dx.doi.org/10.47760/ijcsmc.2024.v13i01.006.
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An AI-driven model for resource allocation in network slicing is examined in this research paper. The model’s algorithm comprises three stages, each with its specific algorithm. Resource allocation begins with reservation, where the controller reserves minimum resources for each slice. The second stage is autonomous radio resource management, mainly focusing on AI model training and decision engines. The last stage is physical resource allocation, where resources are distributed to the slices and users. Simulations on MATLAB software indicated this model to be effective in enhancing resource allocation.
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Wulandari, Astri, Nachwan Mufti Adriansyah, and Vinsensius Sigit Widhi Prabowo. "Greedy Based Radio Resource Allocation Algorithm with SARSA Power Control Scheme in D2D Underlaying Communication." Journal of Measurements, Electronics, Communications, and Systems 7, no. 1 (December 30, 2020): 6. http://dx.doi.org/10.25124/jmecs.v7i1.3472.
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Device-to-Device (D2D) underlaying communication system is a solution in reducing the workload of eNodeB and increasing the system data rate. This communication system consists of two users, namely Cellular User Equipment (CUE) and D2D pair, where CUE will share its resources with the D2D pair. This sharing resources also causes interference and should be managed using the resource allocation algorithm. In this work, the resource allocation scheme occurs in a single cell with an uplink communication direction. The resource allocation process uses greedy and joint greedy algorithms. After CUE allocates all of its resources, SARSA algorithm performs the power allocation process. The resource allocation process involves the scheduled CUE and D2D pair. After all the resource and power are allocated, parameter performance of the system is calculated. Based on the work results, joint greedy algorithm with power allocation using SARSA algorithm have performance results 1.375 × 107 bps/Watt in energy efficiency, 43.105 bps/Hz in spectral efficiency, and 0.993 in D2D fairness index.
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Yadav, Savita, Pradeep Kumar Shah, Sowmiya Kumar, and Anjali Singh. "Enhancing resource allocation for power sharing in cognitive radio communication networks using ensemble moth-flame optimized dynamic recurrent neural networks." Multidisciplinary Science Journal 6 (July 12, 2024): 2024ss0307. http://dx.doi.org/10.31893/multiscience.2024ss0307.
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Wireless data transmission networks are radio communication networks (RCN). These networks allow radios as well as phones to communicate, exchange data and calls across radio waves. Broadcasting, emergency services and mobile telecommunications are among the numerous industries that use RCN's flexibility and ease. Our proposed method, Ensemble Moth-Flame Optimized Dynamic Recurrent Neural Network (EMFO-DRNN), addresses the challenges inherent in DNN-based systems, maximizing power distribution, minimizing interference and optimizing spectrum utilization. This solution enables adaptive channel selection in real-time, catering to dynamic conditions and user demands in cognitive radio communication networks. We use the radio wave dataset in our research. We preprocessed using z-score normalization and employed the Fast Fourier Transform (FFT) for feature extraction to develop the EMFO-DRNN approach for improving the allocation of resources for power sharing in Cognitive Radio Communication Networks (CRCN). The EMFO-DRNN method has better performance metrics, such as high accuracy (92%), precision (95%), f1-score (96%) and recall (94%) in enhancing resource allocation for power sharing in CRCN. The proposed approach outperforms traditional methods in resource allocation due to its ensemble nature, which improves stability along with generalization and its Moth-Flame optimization aids in finding optimal solutions promptly.
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Mathonsi, Topside E., Tshimangadzo Mavin Tshilongamulenzhe, and Bongisizwe Erasmus Buthelezi. "Enhanced Resource Allocation Algorithm for Heterogeneous Wireless Networks." Journal of Advanced Computational Intelligence and Intelligent Informatics 24, no. 6 (November 20, 2020): 763–73. http://dx.doi.org/10.20965/jaciii.2020.p0763.
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In heterogeneous wireless networks, service providers typically employ multiple radio access technologies to satisfy the requirements of quality of service (QoS) and improve the system performance. However, many challenges remain when using modern cellular mobile communications radio access technologies (e.g., wireless local area network, long-term evolution, and fifth generation), such as inefficient allocation and management of wireless network resources in heterogeneous wireless networks (HWNs). This problem is caused by the sharing of available resources by several users, random distribution of wireless channels, scarcity of wireless spectral resources, and dynamic behavior of generated traffic. Previously, resource allocation schemes have been proposed for HWNs. However, these schemes focus on resource allocation and management, whereas traffic class is not considered. Hence, these existing schemes significantly increase the end-to-end delay and packet loss, resulting in poor user QoS and network throughput in HWNs. Therefore, this study attempts to solve the identified problem by designing an enhanced resource allocation (ERA) algorithm to address the inefficient allocation of available resources vs. QoS challenges. Computer simulation was performed to evaluate the performance of the proposed ERA algorithm by comparing it with a joint power bandwidth allocation algorithm and a dynamic bandwidth allocation algorithm. On average, the proposed ERA algorithm demonstrates a 98.2% bandwidth allocation, 0.75 s end-to-end delay, 1.1% packet loss, and 98.9% improved throughput performance at a time interval of 100 s.
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Razmi, Shirin, and Naser Parhizgar. "Adaptive resources assignment in OFDM-based cognitive radio systems." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 3 (June 1, 2019): 1935. http://dx.doi.org/10.11591/ijece.v9i3.pp1935-1943.
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Spectrum efficiency of orthogonal frequency division multiplexing (OFDM)-based cognitive radio (CR) systems can be improved by adaptive resources allocation. In resources allocation, transmission resources such as modulation level and transmission power are adaptively assigned based on channel variations. The goal of this paper is maximize the total transmission rate of secondary user (SU). Hence, we investigate adaptive power and modulation allocation to achieve this purpose. For power allocation, we investigate optimal and conventional methods and then introduce a novel suboptimal algorithm to calculate the transmission power of each subcarrier. In addition, for adaptive modulation, we consider two kinds of modulations including multi-quadrature amplitude modulation (MQAM) and multi-phase-shift keying (MPSK). Also, simulation results are indicated the performance of our algorithm.
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Mach, Pavel, and Robert Bestak. "Radio resources allocation for decentrally controlled relay stations." Wireless Networks 17, no. 1 (July 30, 2010): 133–48. http://dx.doi.org/10.1007/s11276-010-0269-8.
Full textDissertations / Theses on the topic "Radio Resources Allocation"
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Weng, Lingfan. "Analysis and allocation of radio resources in cooperative wireless networks /." View abstract or full-text, 2008. http://library.ust.hk/cgi/db/thesis.pl?ECED%202008%20WENG.
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Sharara, Mahdi. "Resource Allocation in Future Radio Access Networks." Electronic Thesis or Diss., université Paris-Saclay, 2023. http://www.theses.fr/2023UPASG024.
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Cette thèse considère l'allocation des ressources radio et de calcul dans les futurs réseaux d'accès radio et plus précisément dans les réseaux Cloud-RAN (Cloud-Radio Access Networks) ainsi que les réseaux Open-RAN (Open-Radio Access Networks). Dans ces architectures, le traitement en bande de base de plusieurs stations de base est centralisé et virtualisé. Cela permet une meilleure optimisation du réseau et une réduction des dépenses d'investissement et d'exploitation. Dans la première partie de cette thèse, nous considérons un schéma de coordination entre les ordonnanceurs radio et de calcul. Dans le cas où les ressources de calcul ne sont pas suffisantes, l'ordonnanceur de calcul envoie un retour d'information à l'ordonnanceur radio pour mettre à jour les paramètres radio. Bien que cela réduise le débit radio de l'utilisateur, il garantit que la trame sera traitée au niveau de l'ordonnanceur de calcul. Nous modélisons ce schéma de coordination à l'aide de la programmation linéaire en nombres entiers (ILP) avec comme objectifs de maximiser le débit total ainsi que la satisfaction des utilisateurs. Les résultats montrent la capacité de ce schéma de coordination à améliorer différents paramètres, notamment la réduction du gaspillage de puissance de transmission. Ensuite, nous proposons des heuristiques à faible complexité et nous les testons dans un environnement de services multiples avec des exigences différentes. Dans la deuxième partie de cette thèse, nous considérons l'allocation conjointe des ressources radio et de calcul. Les ressources radio et de calcul sont allouées conjointement dans le but de minimiser la consommation énergétique. Le problème est modélisé à l'aide de la programmation linéaire mixte en nombres entiers (MILP), et est ensuite comparé à un autre problème MILP ayant comme objectif de maximiser le débit total. Les résultats montrent que l'allocation conjointe des ressources radio et de calcul est plus efficace que l'allocation séquentielle pour minimiser la consommation énergétique. Enfin, nous proposons un algorithme basé sur la théorie de matching (matching theory) à faible complexité qui pourra être une alternative pour résoudre le problème MILP à haute complexité. Dans la dernière partie de cette thèse, nous étudions l'utilisation des outils de l'apprentissage machine (machine learning). Tout d'abord, nous considérons un modèle d'apprentissage profond (deep learning) qui vise à apprendre comment résoudre le problème de coordination ILP, mais en un temps beaucoup plus court. Ensuite, nous considérons un modèle d'apprentissage par renforcement (reinforcement learning) qui vise à allouer des ressources de calcul aux utilisateurs afin de maximiser le profit de l'opérateurThis dissertation considers radio and computing resource allocation in future radio access networks and more precisely Cloud Radio Access Network (Cloud-RAN) and Open Radio Access Network (Open-RAN). In these architectures, the baseband processing of multiple base stations is centralized and virtualized. This permits better network optimization and allows for saving capital expenditure and operational expenditure. In the first part, we consider a coordination scheme between radio and computing schedulers. In case the computing resources are not sufficient, the computing scheduler sends feedback to the radio scheduler to update the radio parameters. While this reduces the radio throughput of the user, it guarantees that the frame will be processed at the computing scheduler level. We model this coordination scheme using Integer Linear Programming (ILP) with the objectives of maximizing the total throughput and users' satisfaction. The results demonstrate the ability of this scheme to improve different parameters, including the reduction of wasted transmission power. Then, we propose low-complexity heuristics, and we test them in an environment of multiple services with different requirements. In the second part, we consider the joint radio and computing resource allocation. Radio and computing resources are jointly allocated with the aim of minimizing energy consumption. The problem is modeled as a Mixed Integer Linear Programming Problem (MILP) and is compared to another MILP problem that maximizes the total throughput. The results demonstrate the ability of joint allocation to minimize energy consumption in comparison with the sequential allocation. Finally, we propose a low-complexity matching game-based algorithm that can be an alternative for solving the high-complexity MILP problem. In the last part, we investigate the usage of machine learning tools. First, we consider a deep learning model that aims to learn how to solve the coordination ILP problem, but with a much shorter time. Then, we consider a reinforcement learning model that aims to allocate computing resources for users to maximize the operator's profit
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Schimuneck, Matias Artur Klafke. "Adaptive Monte Carlo algorithm to global radio resources optimization in H-CRAN." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2017. http://hdl.handle.net/10183/169922.
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Até 2020 espera-se que as redes celulares aumentam em dez vezes a área de cobertura, suporte cem vezes mais equipamentos de usuários e eleve a capacidade da taxa de dados em mil vezes, comparada as redes celulares atuais. A densa implantação de pequenas células é considerada uma solução promissora para alcançar essas melhorias, uma vez que aproximar as antenas dos usuários proporciona maiores taxas de dados, devido à qualidade do sinal em curtas distâncias. No entanto, operar um grande número de antenas pode aumentar significativamente o consumo de energia da infraestrutura de rede. Além disso, a grande inserção de novos rádios pode ocasionar maior interferência espectral entre as células. Nesse cenário, a gestão dos recursos de rádio é essencial devido ao impacto na qualidade do serviço prestado aos usuários. Por exemplo, baixas potências de transmissão podem deixar usuários sem conexão, enquanto altas potências elevam a possibilidade de ocorrência de interferência. Além disso, a reutilização não planejada dos recursos de rádio causa a ocorrência de interferência, resultando em baixa capacidade de transmissão, enquanto a subutilização de recursos limita a capacidade total de transmissão de dados. Uma solução para controlar a potência de transmissão, atribuir os recursos de rádio e garantir o serviço aos usuários é essencial. Nesta dissertação, é proposto um algoritmo adaptativo de Monte Carlo para realizar alocação global de recursos de forma eficiente em termos de energia, para arquiteturas Heterogeneous Cloud Radio Access Network (H-CRAN), projetadas como futuras redes de quinta geração (5G). Uma solução eficiente para a alocação de recursos em cenários de alta e baixa densidade é proposta. Nossas contribuições são triplas: (i) proposta de uma abordagem global para o problema de atribuição de recursos de rádio na arquitetura HCRAN, cujo caráter estocástico garante uma amostragem geral de espaço de solução; (ii) uma comparação crítica entre nossa solução global e um modelo local; (iii) a demonstração de que, para cenários de alta densidade, a Eficiência Energética não é uma medida adequada para alocação eficiente, considerando a capacidade de transmissão, justiça e total de usuários atendidos. Além disso, a proposta é comparada em relação a três algoritmos de alocação de recursos de última geração para redes 5G.Up until 2020 it is expected that cellular networks must raise the coverage area in 10-fold, support a 100-fold more user equipments, and increase the data rate capacity by a 1000-fold in comparison with current cellular networks. The dense deployment of small cells is considered a promising solution to reach such aggressive improvements, once it moves the antennas closer to the users, achieving higher data rates due to the signal quality at short distances. However, operating a massive number of antennas can significantly increase the energy consumption of the network infrastructure. Furthermore, the large insertion of new radios brings greater spectral interference between the cells. In this scenery, the optimal management of radio resources turn an exaction due to the impact on the quality of service provided to the users. For example, low transmission powers can leave users without connection, while high transmission powers can contribute to inter radios interference. Furthermore, the interference can be raised on the unplanned reuse of the radio resources, resulting in low data transmission per radio resource, as the under-reuse of radio resources limits the overall data transmission capacity. A solution to control the transmission power, assign the spectral radio resources, and ensure the service to the users is essential. In this thesis, we propose an Adaptive Monte Carlo algorithm to perform global energy efficient resource allocation for Heterogeneous Cloud Radio Access Network (HCRAN) architectures, which are forecast as future fifth-generation (5G) networks. We argue that our global proposal offers an efficient solution to the resource allocation for both high and low density scenarios. Our contributions are threefold: (i) the proposal of a global approach to the radio resource assignment problem in H-CRAN architecture, whose stochastic character ensures an overall solution space sampling; (ii) a critical comparison between our global solution and a local model; (iii) the demonstration that, for high density scenarios, Energy Efficiency is not a well suited metric for efficient allocation, considering data rate capacity, fairness, and served users. Moreover, we compare our proposal against three state-of-the-art resource allocation algorithms for 5G networks.
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Amer, Asmaa. "Resource Allocation in NOMA-based cellular networks." Electronic Thesis or Diss., université Paris-Saclay, 2024. http://www.theses.fr/2024UPASG089.
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Cette thèse vise à optimiser l'allocation des ressources au sein des systèmes NOMA, en particulier les systèmes NOMA coopératifs en liaison descendante, dans des configurations de stations de base à antenne unique et à antennes multiples. L'objectif est de maximiser l'efficacité spectrale et énergétique, tout en proposant des schémas NOMA plus efficaces qui peuvent tirer parti des avantages du NOMA et répondre aux limitations des schémas actuellement considérés en termes de consommation d'énergie et de complexité des récepteurs. Dans la première contribution, un système NOMA coopératif basé sur le découpage du réseau est étudié pour accueillir à la fois des utilisateurs cellulaires et des paires de dispositifs à dispositifs (D2D) répondant aux exigences de communication mobile large bande améliorée (eMBB) et de communication ultra fiable à faible latence (URLLC). Le problème d'optimisation est formulé comme une maximisation du débit total avec trois variables d'optimisation : le regroupement des utilisateurs NOMA, l'admission sous-jacente des D2D et l'allocation des blocs de ressources. Le problème est décomposé en trois sous-problèmes. Une solution algorithmique séquentielle est proposée, commençant par le regroupement des utilisateurs, suivie de l'allocation des blocs de ressources, et enfin de l'admission des D2D. Les sous-problèmes de regroupement des utilisateurs et d'admission des D2D sont résolus à l'aide d'une solution de théorie de correspondance de type plusieurs-à-un à faible complexité. Le problème d'allocation des blocs de ressources est résolu par une approche heuristique. Dans la deuxième contribution, nous revisitons le compromis entre l'accès des utilisateurs et la complexité de l'annulation d'interférence successive (SIC) des récepteurs NOMA. À mesure que davantage d'utilisateurs partagent les mêmes ressources, l'interférence et la complexité de la SIC augmentent. Contrairement aux schémas NOMA conventionnels basés sur des paires, nous proposons un schéma NOMA coopératif chevauchant, où chaque utilisateur en bord de cellule peut partager des ressources avec plusieurs utilisateurs au centre de la cellule, même si les utilisateurs au centre de la cellule utilisent des ressources orthogonales entre eux. Cette approche améliore la connectivité des utilisateurs, renforce les performances des utilisateurs en bord de cellule et maintient une faible complexité de SIC. Le problème est formulé comme une maximisation de la satisfaction des Qualité de Service (QoS) des utilisateurs en bord de cellule et est résolu à l'aide d'un algorithme de théorie de correspondance de type plusieurs-à-plusieurs avec des stratégies d'échange et d'ajout/suppression. Dans la troisième contribution de la thèse, nous proposons un système hybride d'accès multiple par division spatiale (SDMA)/NOMA, pour s'adapter entre les utilisateurs accédant par NOMA et SDMA en fonction de leur consommation d'énergie. Dans le modèle de consommation d'énergie, contrairement à la littérature NOMA où la puissance est induite par les unités SIC au niveau du récepteur est négligée, nous introduisons un modèle de consommation d'énergie dynamique basé sur la puissance SIC. Le problème est formulé comme une maximisation de l'efficacité énergétique en optimisant la sélection du mode d'accès multiple, le beamforming de la station de base et l'allocation de puissance des utilisateurs. Cette approche empêche une surestimation de l'efficacité énergétique, entraînant une réduction de l'écart entre l'analyse théorique et la conception du système, ce qui est particulièrement critique pour les dispositifs NOMA contraints par l'énergie. Le problème est résolu en utilisant des approches d'approximation convexe successive (SCA), de programmation par différences convexes (DC) et de programmation semi-définie (SDP)This thesis aims to optimize resources allocation within NOMA systems, particularly downlink cooperative NOMA systems, within single-antenna and multiple antenna base station (BS) configurations. This aims to maximize spectral and energy efficiency, and to propose more efficient NOMA schemes that can reap benefits of NOMA and address the limitations of currently considered NOMA schemes, in terms of power consumption and receiver complexity. In the first contribution, a network-slicing-based cooperative NOMA based system is investigated to accommodate both cellular users and device-to-device (D2D) pairs with enhanced mobile broadband (eMBB) and Ultra reliable low latency communication (URLLC) services requirements. The optimization problem is formulated as sum-throughput maximization with three optimization variables: NOMA-users clustering, underlying D2D- admission, and resource blocks (RBs) allocation. The problem is decoupled into three sub-problems. A sequential algorithmic solution is proposed, starting by users clustering, followed by RBs allocation, and finally D2D admission. The users clustering and D2D admission sub-problems are solved using low-complexity many-to-one matching theory solution. The RBs allocation problem is solved using heuristics approach. In the second contribution, we revisit the trade-off between user access and the successive interference cancellation (SIC) complexity of NOMA receivers. As more users share the same resources, interference and SIC complexity escalate. Unlike conventional pairing-based NOMA schemes, we propose an overlapping cooperative NOMA scheme where each cell-edge user can share resources with multiple cell-center users, even if cell-center users are using orthogonal resources between each other. This approach enhances user connectivity, improves cell-edge user performance, and maintains low SIC complexity. The problem is formulated as maximization of Quality-of-Service (QoS) satisfaction of cell-edge users, and is solved using a many-to-many matching theory algorithm with swapping and add/remove strategies. In the third thesis contribution, we propose a hybrid Space Division Multiple Access (SDMA)/NOMA system, to adapt the multiple access mode, either NOMA or SDMA, based on the power consumption. In the power consumption model, unlike NOMA literature, where power induced by SIC units at the receiver is overlooked, we introduce dynamic power consumption model based on the SIC power. The problem is formulated as maximizing energy efficiency by optimizing the multiple access mode selection, BS beamforming, and user power allocation. This approach prevents overestimation of energy efficiency, consequently, avoids gaps between its theoretical evaluation and practical system design, an aspect particularly critical for energy-constrained NOMA devices. The problem is solved using successive convex approximation (SCA), difference of convex (DC) programming and semidefinite programming (SDP) approaches
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Masmoudi, Raouia. "Télécommunications domotiques efficaces en termes de consommation d’énergie." Thesis, Cergy-Pontoise, 2015. http://www.theses.fr/2015CERG0791.
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Le spectre électromagnétique est une ressource limitée dont l'usage doit être optimisé. Plusieurs travaux actuels visent à améliorer l'utilisation des fréquences radio en exploitant les méthodes de traitement intelligent du signal : la radio cognitive. Cette thèse se place dans ce contexte. Concrètement, nous considérons un problème d'allocation conjointe de spectre et de puissance dans un système radio cognitif (CR) composé de plusieurs utilisateurs secondaires (SUs) et primaires (PUs). L'objectif est d'optimiser l'efficacité énergétique des SUs tout en garantissant des niveaux d'interférences maximales imposés par la présence des PUs. Nous analysons des métriques d'efficacité énergétique en utilisant un cadre unificateur basé sur des outils d'optimisation convexe multi-critères. Les métriquesque nous étudions sont : la maximisation de débit avec pénalité sur l'interférence créée, le ratio débit puissance totale et la minimisation de puissance sous contrainte de débit pour concevoir un système de communications efficace en termes de consommation. Nous approfondissons ensuite l'étude de la métrique de minimisation de puissances sous contraintes de débits minimaux aux SUs et d'interférences maximales aux PUs. Étant donné la nature opposée de ces contraintes, nous étudions d'abord la faisabilité du problème et nous proposons des conditions nécessaires et des conditions suffisantes pour l'existence d'une solution. Le défi principal réside dans la non-convexité du problème d'allocation conjointe de spectre et de puissance en raison du paramètre discret d'ordonnancement des SUs. Afin de surmonter ce challenge, nous utilisons une technique de relaxation de Lagrange pour résoudre un problème convexe. Nous prouvons que les solutions discrètes du problème relaxé sont les solutions du problème initial. Lorsqu'une solution existe, nous proposonsun algorithme itératif basé sur la méthode de sous-gradient pour calculer la solution optimale. Nous montrons que le scheduling optimal est plus efficace comparé avec d'autres allocations de spectre classiques (e.g. entrelacée, blockwise). Dans le cas particulier de deux bandes orthogonales et un SU unique, nous proposons une solution analytique qui ne nécessite pas d'algorithme itératifThe radio spectrum is a limited resource which must be used in an optimal way. Recent works in the literature aim to improve the use of radio frequencies by exploiting intelligent techniques from signal processing, such as the cognitive radio paradigm. In this thesis, we study a joint spectrum scheduling and power allocation problem in a Cognitive Radio (CR) system composed of several secondary users (SUs) and primary users (PUs). The objective is to optimize the energy efficiency of the SUs while guaranteeing that the interference created to the PUs is kept below a maximum tolerated level. We analyze energy efficiency metrics in wireless communications using a common unifying framework based on convex multi-criteria optimization tools, which includes the three of the most popular energyefficiency metrics in the literature : weighted difference between overall achievable rate and power consumption, the ratio between the overall rate and consumed power and overall consumed power under minimum rate constraint. Then, we further focus on the study of the opportunistic power minimization problem over several orthogonal frequency bands under constraints on the minimum Quality of Service (QoS) and maximum interference to the PUs. Given the opposing nature of these constraints, we first study the feasibility of the problem and we provide sufficient conditions and necessary conditions that guarantee the existence of a solution. The main challenge lies in the non-convexity of the joint spectrum and power allocation problem due to the discrete spectrum scheduling parameter of SUs. To overcome this issue, we use a Lagrangian relaxation technique to solve a convexproblem. We prove that the discrete solutions of the relaxed problem are the solutions of the initial problem. When a solution exists, we propose an iterative algorithm based on subgradient method to compute an optimal solution. We show that the optimal scheduling is more efficient compared to other conventional spectrum allocations (e.g. interlaced, blockwise). In the particular case of two orthogonal bands and an unique SU, we provide an analytical solution that does not require an iterative algorithm
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Suliman, I. M. (Isameldin Mohammed). "Performance analysis of cognitive radio networks and radio resource allocation." Doctoral thesis, Oulun yliopisto, 2016. http://urn.fi/urn:isbn:9789526212753.
Full textAbstract:
Abstract Cognitive radio (CR) is becoming a promising tool for solving the problem of the scarce radio resource and spectrum inefficiency. Spectrum sensing (signal detection) enables real-time detection of spectrum holes by unlicensed secondary users (SUs) in cognitive radio networks (CRNs). In this thesis, performance analysis of CRNs and radio resource allocation are considered. A continuous time Markov chain (CTMC) based analytical model taking into account all relevant elements as well as addressing the issue of the false alarm rate (FAR) associated with the continuous sensing is developed. In some cases, the PU can be modeled as time-slotted with constant state (transmitting or not) in each slot. In this case, assuming SU can synchronize to the slots, its intuitive to use beginning of a slot for sensing and rest (possibly) for communication. For this model, M/D/1 priority queueing scheme has been applied in this thesis to find waiting time and queue length for PU and SU. Multiple access among SUs in a time-slotted channel is considered next. A conventional method is e.g. using a channel access probability ψ in each slot similar to the slotted ALOHA. A radically new idea is introduced in this thesis: why not increase the false alarm probability PFA of each SU and use it as a multiple access method? A game theoretic approach to radio resource allocation for the downlink capacity providing fair resource sharing among mobile nodes located along a multihop link is presented. Furthermore, the problem of resource allocations in heterogeneous wireless networks is also studied. Finally, device-to-device (D2D) communication - with localized distribution, where users tend to gather around some areas (clusters/hot-spots) within the cell such as buildings is studied. Theoretical analysis with two dimensional clustering is presented including cases with correlated clusters. Correlation in cluster selection is shown to significantly improve performanceTiivistelmä Kognitiivinen radio (CR) on nousemassa lupaavaksi työkaluksi niukkojen radioresurssien ja spektrin käytön tehottomuuden ratkaisemisessa. Spektrin nuuskiminen (signaalin ilmaisu) mahdollistaa spektriaukkojen reaaliaikaisen tunnistamisen toissijaisten käyttäjien (SU) toimesta kognitiivisissa radioverkoissa (CRN). Tässä väitöskirjassa painotus on CRN verkkojen suorituskykyanalyysissa ja radioresurssien hallinnassa. Työssä kehitetään jatkuva-aikaiseen Markov ketjuun (CTMC) perustuva analyyttinen malli joka ottaa huomioon kaikki olennaiset asiat mukaan lukien jatkuva-aikaiseen spektrin nuuskimiseen liittyvän väärien hälytysten tiheyden (FAR). Joissakin tapauksissa PU:ta voidaan mallintaa aikajaoteltuna siten että PU:n tila on vakio kussakin aikavälissä. Olettaen että SU voi synkronoitua aikaväleihin, on intuitiivista käyttää aikavälin alkua nuuskimiselle ja loppuosaa (mahdollisesti) viestintää varten. M/D/1:n ensisijaisuus-jonotus-suunnitelmaa soveltamalla tässä väitöskirjassa saadaan tuloksia odotusajalle ja jonon pituudelle sekä SU:lle että PU:lle. Seuraavaksi käsitellään monikäyttöä SU:den joukossa aikajaotellussa kanavassa. Tavanomainen menetelmä käyttää esimerkiksi kanavapääsytodennäköisyyttä ψ kussakin aikavälissä vastaten aikajaoteltua ALOHA protokollaa. Tässä väitöskirjassa esitetään radikaali uusi idea: miksei lisätä väärän hälytyksen todennäköisyyttä kussakin SU:ssa ja käytetä sitä moniliittymämenetelmänä? Työssä esitetään peliteoreettinen lähestymistapa radioresurssien allokointiin siten että resurssit jaetaan oikeudenmukaisesti monen yhteysvälin linkeissä. Lisäksi tutkitaan myös resursoinnin ongelmaa heterogeenisissa langattomissa verkoissa. Lopuksi tutkitaan laitteiden välistä suoraa viestintää (D2D) paikallisen jakauman kanssa, jossa käyttäjillä on tapana kasaantua solun sisällä esim. rakennuksiin. Esitetään teoreettinen analyysi kaksiulotteisella klusteroinnilla myös korreloitujen ryhmien kanssa. Osoitetaan että korrelaatio ryhmän valinnassa parantavaa merkittävästi suorituskykyä
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Ellingsæter, Brage Høyland. "Cognitive Radio: Interference Management and Resource Allocation." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for elektronikk og telekommunikasjon, 2010. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-11295.
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In this thesis the performance of different cognitive systems are analyzed in different environments and scenarios. The main scenarios are: one cognitive and one primary user, multiple cognitive users and channels and multiple cognitive and primary users. With primary users in the vicinity, cognitive systems are evaluated both when no degradation to primary user QoS is allowed and when some degradation is allowed, measured by an outage probability. In all scenarios involving one or more primary users, the performance is evaluated over two phases. In Phase 1 the channel is idle, i.e. the primary users are silent, and in Phase 2 the primary users are active on the channel. One of the questions in this thesis is how can cognitive users transmit simultaneously with the primary user in Phase 2. Schemes that show that this is possible is presented and evaluated and performance is compared to a standard cognitive system only transmitting when the channel is idle.In scenarios with multiple cognitive users and channels, power allocation schemes are reviewed. A novel power allocation algorithm presented in cite{burr}, called modified water filling in this thesis, is implemented and referenced against other well-known power allocation schemes.All implementation and simulations were done in MATLAB. It was assumed infinite processing power at all cognitive users, i.e. no processing delay, and perfect spectral sensing at all cognitive users. The results showed that the performance gain of cognitive system utilizing simultaneous transmission achieves only a slight performance gain over a standard cognitive system, when no degradation to primary user QoS is allowed. However, by allowing only a slight degradation in primary user QoS, the gain is significant and should be included in future work on cognitive radio as it shows a promising way to exploit spectra.
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Hashmi, Ziaul Hasan. "Dynamic resource allocation for cognitive radio systems." Thesis, University of British Columbia, 2008. http://hdl.handle.net/2429/961.
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Cognitive Radio (CR) is considered to be a novel approach to improve the underutilization of precious radio resources by exploiting the unused licensed spectrum in dynamically changing environments. Designing efficient resource allocation algorithms for dynamic spectrum sharing and for power allocation in OFDM-CR networks is still a challenging problem. In this thesis, we specifically deal with these two problems.
Dynamic spectrum sharing for the unlicensed secondary users (SU)s with device coordination could minimize the wastage of the spectrum. But this is a feasible approach only if the network considers the fairness criterion. We study the dynamic spectrum sharing problem for device coordinated cognitive radio networks with respect to fairness. We propose a simple modified proportional fair algorithm for a dynamic spectrum sharing scenario with two constraints, time and utility. Utility is measured by the amount of data processed and time is measured as the duration of a slot. This algorithm could result in variable or fixed length time slots. We will discuss the several controls possible on the algorithm and the possible extension of this algorithm for multicarrier OFDM based CR systems.
Traditional water-filling algorithm is inefficient for OFDM-CR networks due to the interaction with primary users (PU)s. We consider reliability/availability of subcarriers or primary user activity for power allocation. We model this aspect mathematically with a risk-return model by defining a general rate loss function. We then propose optimal and suboptimal algorithms to allocate power under a fixed power budget for such a system with linear rate loss. These algorithms as we will see allocate more power to more reliable subcarriers in a water-filling fashion with different water levels. We compare the performance of these algorithms for our model with respect to water-filling solutions. Simulations show that suboptimal schemes perform closer to optimal scheme although they could be implemented with same complexity as water-filling algorithm. We discuss the linearity of loss function and guidelines to choose its coefficients by obtaining upper bounds on them. Finally we extend this model for interference-limited OFDM-CR systems.
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Wong, Chung Kit. "Resource allocation for multihop packet radio networks." Thesis, McGill University, 1994. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=68059.
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This thesis focuses on the routing, power control and channel allocation of Packet Radio Network (PRnet) with multiple channels. The Nearest Forward with Progress (NFP) routing policy is known to achieve higher throughput in the single channel setting than the Most Forward with Progress (MFP) strategy. This observation motivates our work on the variant of the Shacham/King model in which MFR is replaced by NFP in a multi-channel case. The resulting network shows that the superiority of NFP relative to MFP persists. Another way to improve network performance is to control the network topology by restricting the set of possible paths. Pairwise Channel Assignment (PCA), which assigns the different channels to the restricted paths, is modified so as to expand its applicability and reduce its computational burden without significant loss of throughput. The performance evaluations are based on a combination of analysis and simulation.
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Ngo, Duy. "Radio resource allocation for wireless heterogeneous networks." Thesis, McGill University, 2013. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=119622.
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By deploying small cells (i.e., femtocells) within the same service area of regular macrocells, a much higher area spectral efficiency, better indoor coverage, and significant mobile data offloading can be achieved at low cost. Because femtocells reuse the radio spectrum already assigned to macrocells in an uncoordinated fashion, new cell boundaries are created and the signal interference situation becomes far more unpredictable than in conventional networks. In this heterogeneous network setting, adaptive power allocation and dynamic spectrum access are needed to ensure a harmonized coexistence of network entities with diverse design specifications. Since femtocells are deployed by end users without any network planning, autonomous solutions are desirable to effectively control the severe intra-tier and cross-tier interferences. In this study, we develop and evaluate distributed radio resource allocation algorithms for wireless heterogeneous networks employing code-division multiple access (CDMA) and orthogonal frequency division multiple access (OFDMA). Requiring no central coordination, the devised solutions robustly protect the ongoing operation of all existing macrocell users, while optimally exploiting the residual network capacity for femtocells. In CDMA-based networks, we propose a dynamic pricing scheme combined with femtocell user admission control to indirectly manage the cross-tier interference. The proposed joint power and admission control algorithms can be locally executed at each link to offer a maximum utility to individual users. For the total network utility maximization, we develop joint Pareto-optimal power control and signal-to-interference-plus-noise ratio (SINR) assignment algorithms that can fairly share radio resources among users. Upon applying convex optimization methods, the minimum SINRs prescribed by macrocell users are effectively enforced, whereas the sum network utility is globally maximized. In OFDMA-based networks, to resolve the highly nonconvex and combinatorial problem of joint power and subchannel allocation, we propose a dynamic spectrum management scheme that alternatively optimizes the powers and assigns the subchannels. With the adopted successive convex approximation approach, the total throughput of all femtocells is maximized whilst the macrocell network capacity is always protected. In cognitive femtocells where femtocell users opportunistically access the spectrum licensed to macrocells, we apply Lagrangian duality to devise jointly optimal power and subchannel allocation algorithms. The distributed solutions are shown to achieve their global optimality with low complexity.En déployant de petites cellules (dénommées les femtocells) au sein de la même zone de service que les cellules de tailles régulières (dénommées cellules macro), une efficacité spectrale zone beaucoup plus élevé, une meilleure couverture à l'intérieur, et d'importantes données mobiles de déchargement entre les deux cellules peuvent être réalisé tout en gardant faible coût. Vu que les femtocells réutilisent le spectre de fréquence déjà consacré à la cellule macro, auxquelles ils sont assignés, d'une manière non-coordonnée, de nouvelles limites de cellules sont créées et l'interférence devient beaucoup plus imprévisible que dans les réseaux traditionnels. Dans ce contexte réseau hétérogène, une allocation adaptative de puissance et des méthodes d'accès dynamiques au spectre sont nécessaires pour assurer une coexistence harmonisée des entités du réseau avec les nouvelles spécifications imposées par les femtocells. Depuis que les femtocells sont déployées par les terminaux sans aucune planification au préalable du réseau, des solutions qui s'adaptent automatiquement sont toujours désirable pour contrôler efficacement les sévères interférences entre les différents niveaux du réseau sans fil hétérogène.Dans cette étude, nous développons et évaluons des algorithmes distribués pour l'allocation de ressources radio dans les réseaux sans fil hétérogènes employant l accès multiple par répartition en code (CDMA) et Accès multiple par répartition en fréquence (OFDMA). En évitant une coordination centralisée, les solutions proposées protègent le fonctionnement de tous les utilisateurs de la cellule macro existantes, tout en exploitant de manière optimale la capacité résiduelle du réseau pour les utilisateurs du femtocells. Dans les réseaux CDMA, nous proposons un schéma de tarification dynamique associé à un contrôle d'admission des utilisateurs de la femtocell nous permettant de gérer indirectement l'interférence inter-niveaux (entre cellule macro et femtocell). Le contrôle simultané de la puissance et les algorithmes de contrôle d'admission proposés peut être exécuté localement sur chaque lien pour offrir un maximum d'utilité pour les utilisateurs individuels. Pour maximiser l'utilité totale du réseau, nous développons un algorithme de contrôle simultané de puissance basant sur l'optimalité de Pareto et le rapport signal sur interférence plus bruit (SINR) qui peut partager équitablement les ressources radio entre les utilisateurs. En appliquant d'une méthode d'optimisation, les SINR minimaux prescrits par les utilisateurs des cellules macro sont garantis, alors que le maximal global la somme de l'utilité du réseau est trouvé.Dans les réseaux OFDMA, afin de résoudre le problème non convexe et combinatoire de l'allocation conjointe de la puissance et des sous-porteuses, nous proposons un schéma alternatif de gestion dynamique du spectre qui optimise la distribution de puissance et des sous-porteuses. Avec l'approche par approximations successives convexe adoptée, le débit total de tous les femtocells est maximisé alors que la capacité du réseau de la cellule macro est toujours protégée. En femtocells cognitives où les utilisateurs du femtocell accèdent au spectre autorisé à la cellule macro d'une manière opportuniste, nous appliquons la dualité lagrangienne pour optimiser la distribution de la puissance et des sous-porteuses. Nous prouvons que les solutions distribuées proposées atteignent leur optimal global avec une faible complexité.
Books on the topic "Radio Resources Allocation"
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Jean-Marc, Chaduc, and Pogorel Gerard, eds. The radio spectrum: Managing a strategic resource. Hoboken, NJ, USA: Wiley, 2008.
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Benmammar, Badr, and Asma Amraoui. Radio Resource Allocation and Dynamic Spectrum Access. Hoboken, NJ USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118575116.
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Karl, Nebbia, and United States. National Telecommunications and Information Administration, eds. Spectrum resource assessment of unlicensed electronic devices. [Annapolis, MD]: U.S. Dept. of Commerce, National Telecommunications and Information Administration, 1985.
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Yŏnʼguwŏn, Hanʼguk Chŏnja Tʻongsin, ed. Chŏnpʻa chawŏn iyong kiban kisul kaebal =: Development of basic spectrum resource utilizing technology. [Seoul]: Chŏngbo Tʻongsinbu, 2007.
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Yŏnʼguwŏn, Hanʼguk Chŏnja Tʻongsin, ed. Chŏnpʻa chawŏn iyong kiban kisul kaebal =: Development of basic spectrum resource utilizing technology. [Seoul]: Chŏngbo Tʻongsinbu, 2007.
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Le-Ngoc, Tho, and Khoa Tran Phan. Radio Resource Allocation Over Fading Channels Under Statistical Delay Constraints. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-57693-0.
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Fernando, Xavier, Ajmery Sultana, Sattar Hussain, and Lian Zhao. Cooperative Spectrum Sensing and Resource Allocation Strategies in Cognitive Radio Networks. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-73957-1.
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1971-, Chen Huan, ed. Radio resource management for multimedia QoS support in wireless networks. Boston: Kluwer Academic Publishers, 2004.
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Carvalho, Nuno Borges, Alessandro Cidronali, and Roberto Gómez-García. White space communication technologies. Cambridge, United Kingdom: Cambridge University Press, 2015.
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Underwood, Caroline D. Spectrum issues for the new communications age. Edited by Griswold Mary E and Moore, L. K. S. (Linda K. S.). Hauppauge, N.Y: Nova Science Publishers, 2010.
Find full textBook chapters on the topic "Radio Resources Allocation"
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Vivier, Emmanuelle, Michel Terré, and Bernard Fino. "On the Complexity of Radio Resources Allocation in WCDMA Systems." In IFIP International Federation for Information Processing, 179–90. Boston, MA: Springer US, 2005. http://dx.doi.org/10.1007/0-387-23150-1_16.
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Houda, Mzoughi, Faouzi Zarai, Mohammad S. Obaidat, Balqies Sadoun, and Lotfi Kamoun. "Cooperative Radio Resources Allocation and Congestion Prevention Scheme for LTE-A." In Advances in Intelligent Systems and Computing, 297–314. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-69832-8_17.
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Mikaeil, Ahmed Mohammed, and Weisheng Hu. "Q-Learning Based Joint Allocation of Fronthaul and Radio Resources in Multiwavelength-Enabled C-RAN." In Optical Network Design and Modeling, 623–34. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-38085-4_53.
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Wang, Shaowei. "Dynamic Resource Allocation." In Cognitive Radio Networks, 9–25. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08936-2_2.
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Ghorbanzadeh, Michael, and Ahmed Abdelhadi. "Radio Resource Block Allocation." In Practical Channel-Aware Resource Allocation, 71–91. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-73632-3_4.
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Ghorbanzadeh, Mo, Ahmed Abdelhadi, and Charles Clancy. "Radio Resource Block Allocation." In Cellular Communications Systems in Congested Environments, 117–46. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46267-7_6.
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Benmammar, Badr, and Asma Amraoui. "Cognitive Radio." In Radio Resource Allocation and Dynamic Spectrum Access, 23–38. Hoboken, NJ USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118575116.ch2.
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Ghorbanzadeh, Michael, and Ahmed Abdelhadi. "Utility Functions and Radio Resource Allocation." In Practical Channel-Aware Resource Allocation, 17–30. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-73632-3_2.
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Kazmi, S. M. Ahsan, Latif U. Khan, Nguyen H. Tran, and Choong Seon Hong. "Network Slicing: Radio Resource Allocation." In Network Slicing for 5G and Beyond Networks, 43–67. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-16170-5_4.
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Zhang, Huaqing, and Zhu Han. "Distributed Resource Allocation for Network Virtualization." In Handbook of Cognitive Radio, 1–18. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-1389-8_39-1.
Full textConference papers on the topic "Radio Resources Allocation"
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Upadhyay, Deepak, Mridul Gupta, Kunj Bihari Sharma, Abhay Upadhyay, and Satya Prakash Yadav. "Optimization of New Radio Physical Uplink Shared Channel Resources Allocation with Efficient Demodulated Referenced Signals and PT-RE Deployment." In 2024 International Conference on Electrical Electronics and Computing Technologies (ICEECT), 1–6. IEEE, 2024. http://dx.doi.org/10.1109/iceect61758.2024.10738873.
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Vijayasarveswari, V., S. Khatun, M. M. Fakir, M. N. Nayeem, L. M. Kamarudin, and A. Jakaria. "Cognitive radio based optimal channel sensing and resources allocation." In 11TH ASIAN CONFERENCE ON CHEMICAL SENSORS: (ACCS2015). Author(s), 2017. http://dx.doi.org/10.1063/1.4975292.
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de Souza, Phelipe A., Abdallah S. Abdallah, Elivelton F. Bueno, and Kleber V. Cardoso. "Virtualized Radio Access Networks: Centralization, Allocation, and Positioning of Resources." In 2018 IEEE International Conference on Communications Workshops (ICC Workshops). IEEE, 2018. http://dx.doi.org/10.1109/iccw.2018.8403667.
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Vijayasarveswari, V., S. Khatun, and M. N. Morshed. "Performance of spectrum sensing in cognitive radio for resources allocation." In PROCEEDINGS OF GREEN DESIGN AND MANUFACTURE 2020. AIP Publishing, 2021. http://dx.doi.org/10.1063/5.0044715.
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Wang, Chiapin, Yu-Chia Liu, Han-Chi Gao, and Tsung-Yi Fan Chiang. "Reinforcement-Learning Based Radio Resources Allocation in Licensed Assisted Access." In 2020 IEEE International Conference on Smart Cloud (SmartCloud). IEEE, 2020. http://dx.doi.org/10.1109/smartcloud49737.2020.00040.
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Jun, Wang, and Zhu Jinzhou. "Q-learning Based Radio Resources Allocation in Cognitive Satellite Communication." In 2022 International Symposium on Networks, Computers and Communications (ISNCC). IEEE, 2022. http://dx.doi.org/10.1109/isncc55209.2022.9851730.
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Malde, Keval A., Venkatarami Reddy Chintapalli, Bhavishya Sharma, Bheemarjuna Reddy Tamma, and A. Antony Franklin. "JARS: A Joint Allocation of Radio and System Resources for Virtualized Radio Access Networks." In NOMS 2023-2023 IEEE/IFIP Network Operations and Management Symposium. IEEE, 2023. http://dx.doi.org/10.1109/noms56928.2023.10154407.
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Boskov, Ivan, and Ales Svigelj. "Dynamic allocation of resources in a heterogeneous Cloud Radio Access Network." In 2022 International Conference on Broadband Communications for Next Generation Networks and Multimedia Applications (CoBCom). IEEE, 2022. http://dx.doi.org/10.1109/cobcom55489.2022.9880676.
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Mzoughi, Houda, Faouzi Zarai, and Lotfi Kamoun. "Interference-limited radio resources allocation in LTE_A system with MIH cooperation." In 2016 22nd Asia-Pacific Conference on Communications (APCC). IEEE, 2016. http://dx.doi.org/10.1109/apcc.2016.7581465.
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Dandachi, Ghina, Tijani Chahed, Salah Eddine Elayoubi, Nada Chendeb Taher, and Ziad Fawal. "Joint allocation strategies for radio and processing resources in Virtual Radio Access Networks (V-RAN)." In 2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC). IEEE, 2017. http://dx.doi.org/10.1109/pimrc.2017.8292512.
Full textReports on the topic "Radio Resources Allocation"
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Bruce. L52090 Near-Neutral pH SCC - Dormancy and Re-Initiation of Stress Corrosion Cracks. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), April 2003. http://dx.doi.org/10.55274/r0011360.
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The objective of this research project was to identify the environmental, metallurgical, and mechanical conditions that lead to dormancy and re-initiation of previously dormant stress corrosion cracks. These parameters would assist pipeline operators in mitigating near-neutral pH SCC on their systems, and allocating resources for pipeline maintenance. Unload-reload transients were found to increase the crack growth rate in the majority of the experiments and to re-initiate dormant stress corrosion cracks in several cases. On the other hand, there was no consistent effect of the presence or magnitude of overloads on crack growth behavior. The simulated hydrostatic tests had relatively little effect on the crack velocities for near dormant conditions, but consistently inhibited subsequent crack growth for actively growing cracks. The results of analyses of the data and modeling suggest that the R ratio (ratio of minimum to maximum pressure) and frequency of pressure fluctuations on an operating pipeline can be used as a tool to rank segments of pipelines base on the mechanical driving force for propagation of near neutral pH SCC. The concept of a critical crack tip strain rate, which can be related to the R ratio and frequency, also can be used to reasonably predict whether a given set of loading conditions will lead to dormancy.
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Albert, Jose Ramon, Ronald Mendoza, Deanne Lorraine Cabalfin, Mohammad Mahmoud, and Mika Muñoz. A Process Evaluation of the Philippine Alternative Learning System. Philippine Institute for Development Studies, December 2024. https://doi.org/10.62986/dp2024.31.
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This study presents a comprehensive process evaluation of the Department of Education's Alternative Learning System (ALS) in the Philippines, examining its effectiveness in providing second-chance education opportunities for out-of-school youth and adults (OSYAs). While the ALS plays a vital role in the Philippine education system, systematic evidence on its implementation effectiveness, operational processes, and institutional capabilities has been limited thus far. The study employs a mixed-methods approach, combining quantitative analysis of administrative data with key informant interviews, focus group discussions, and an online survey of 4,933 past and current ALS learners. This multifaceted methodology provides both broad insights into system-wide patterns and a granular understanding of implementation challenges. The evaluation reveals significant institutional strengths, particularly in teacher dedication and program adaptability. However, severe resource constraints hinder program effectiveness. Key findings demonstrate that the ALS faces substantial operational challenges. Most notably, despite serving only 0.8 percent of basic education learners, ALS receives merely 0.1 percent of the Department of Education's budget. This resource disparity manifests in concerning ways: a pupil-teacher ratio of 75:1 (compared to an ideal of 25:1), inadequate facilities—with 61 percent of Community Learning Centers below standard size requirements—and limited learning materials. Results from the online survey indicate high satisfaction with teaching quality (95%); however, only 54 percent of program completers are employed, with 51 percent reporting a high alignment of their jobs with their skills. Balancing work and study emerges as a significant challenge, particularly for working learners (45%), while financial difficulties affect 22 percent of participants. Gender disparities are notable, with female employment rates significantly lagging behind those of males, particularly in the 25-35 age group (34% versus 65%). The analysis also examines trends in the out-of-school youth population, considering the complementary effects of other interventions such as the Pantawid Pamilyang Pilipino Program (4Ps). Projections suggest this population could decrease to approximately 500,000 by 2035, requiring strategic recalibration of the ALS program's scope and delivery models. This potential reduction raises fundamental questions about the program's "endgame"—specifically, what constitutes a manageable level of out-of-school youth based on the Philippine context and international standards. The recommendations emphasize the need for increased funding, improved resource allocation, enhanced teacher training, stronger coordination among stakeholders, and innovative approaches to curriculum design and delivery. Additionally, the study calls for better alignment between ALS and other social protection programs, clearer metrics for measuring program effectiveness, and more targeted support for working learners and female participants. These findings are expected to inform evidence-based policymaking and catalyze strategic reforms to enhance the accessibility, quality, and relevance of alternative education in the Philippines.
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Almaden, Catherine Roween. Economics of Satellite Campuses. Philippine Institute for Development Studies, December 2024. https://doi.org/10.62986/dp2024.33.
Full textAbstract:
This research provides a comprehensive comparison of the financial, educational, and socio-spatial considerations in establishing State Universities and Colleges (SUCs) satellite campuses versus enhancing support mechanisms for existing SUCs in the Philippines. It highlights their critical role in expanding access to higher education, particularly for underserved and geographically isolated communities. Building on literature that identifies satellite campuses as tools for addressing educational disparities and fostering regional socio-economic development, the study emphasizes cost-effectiveness in decision-making. Using a mixed-methods approach, it combines quantitative cost-effectiveness analysis with qualitative insights from Focus Group Discussions (FGDs) and Key Informant Interviews (KIIs) with SUC stakeholders to explore financial and operational challenges. The cost-effectiveness analysis utilizes key financial metrics such as Net Present Value (NPV), Benefit-Cost Ratio (BCR), and Internal Rate of Return (IRR). Findings indicate that while satellite campuses offer opportunities to improve educational access, their financial sustainability is constrained by high initial investments and operational costs. Current low-fee structures in SUCs limit revenue generation, with long-term projections rarely covering infrastructure and operational expenses. Revenue-enhancing strategies are essential to address these constraints and ensure viability. Infrastructure development emerges as a major cost factor, with many SUCs relying on partnerships with Local Government Units (LGUs) for land donations. However, budget limitations remain a significant barrier. Qualitative data highlight the socio-economic benefits of satellite campuses, including the empowerment of marginalized populations and local economic growth. Aligning educational programs with local needs is identified as key to maximizing impact. Enrollment trends reveal regional disparities, with concentrations in CALABARZON, Central Luzon, and NCR, while underserved areas, particularly in Mindanao, face persistent barriers. An analysis of compliance rates shows that 69% of SUCs have achieved a Certificate of Program Compliance (COPC), though postgraduate programs lag behind undergraduate offerings. The performance of Teacher Education Programs in licensure exams further underscores disparities between main and satellite campuses. The study concludes that optimizing existing SUC campuses through improved resource allocation, targeted policies, and sustainable funding solutions can enhance educational outcomes, support local and regional development, and create a more inclusive higher education system in the Philippines.
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Financial Stability Report - First Half of 2023. Banco de la República, September 2024. http://dx.doi.org/10.32468/rept-estab-fin.sem1.eng-2023.
Full textAbstract:
Banco de la República’s main goal is to preserve the purchasing power of the currency in coordination with the general economic policy that is intended to stabilize output and employment at long-term sustainable levels. Properly meeting the goal assigned to the Bank by the 1991 Constitution critically depends on preserving financial stability. This is understood to be a general condition in which the financial system channels domestic savings and evaluates and manages the financial risks in a way that facilitates the performance of the economy and efficient allocation of resources while, at the same time, it is able to, on its own, absorb, dissipate, and mitigate the appearance of risks that may arise as a result of adverse events. Banco de la República’s Financial Stability Report provides a diagnosis of the financial system’s and its debtors’ recent performance and indicates the main risks and vulnerabilities that could have an effect on the stability of the Colombian economy. The objective is to share this information with the financial market participants and the public and encourage public debate on trends and risks that affect the system. The results presented here also serve the monetary authority as a basis for making decisions that will enhance financial stability. The analysis presented in this edition of the Report makes it possible to conclude that the Colombian financial system has liquidity and capital adequacy levels that are not only above those required by internationally accepted parameters but would even be sufficient to face the occurrence of extreme low-probability risks. In particular, during the last six months, the aggregate capital adequacy of credit institutions rose 22 basis points and reached 18.1% in February 2023. The liquidity coverage ratio indicator and the net stable funding ratio, in turn, were 202.0% and 111% and thus well above the regulatory minimums of 100%. The period of analysis in this Report includes the period of stress that occurred in the U.S. regional bank segment and at Credit Suisse and caused nervousness regarding possible risks to global financial stability. The characteristics and risks that generated problems in those entities are analyzed in this Report and the Colombian financial system is evaluated considering different sources of vulnerability. Some characteristics that protect the Colombian financial system are: (i) a cautious balance sheet structure on both the asset and liability sides of the entities; (ii) the widespread practice of valuing the investment portfolio at market prices, and (iii) the appropriate management of liquidity risk. In line with a higher interest-rate scenario and a slowdown in local economic activity, the credit growth rate has slowed down in recent months while there have been signs of deterioration in the loan portfolios. Credit, which had been exhibiting excessively high growth levels last year, especially in the consumer category, has slowed down while past-due and risky loans have rebounded. This is also driven mainly by the consumer portfolio which is reflecting the growth in risks assumed by financial institutions in previous quarters. In spite of the lower portfolio performance seen currently and projected for the future, the high level of household indebtedness in Colombia, especially in the consumer segment, continues to be considered a source of vulnerability for the Colombian financial system as was the case in the previous edition of this Report (see section 2.2.1). Nevertheless, the financial system continues to reflect soundness and stability: credit institutions (CIs) are keeping liquidity and capital adequacy indicators well above the minimums established by regulation while nonbanking financial institutions (NBFIs) have registered an increase in their profits.The adjustments in the monetary policy stance since September 2021, the effect of the macroprudential measures implemented by the Office of the Financial Superintendent of Colombia (FSC) at the end of last year associated with a higher requirement in terms of loan loss provisions, and stricter conditions in the allocation of loans by CIs are behind the projection of a loan portfolio growth rate that is likely to continue declining in the coming months. In compliance with its constitutional objectives and in coordination with the financial system’s security network, Banco de la República will continue to closely monitor the outlook for financial stability at this juncture and will make the decisions necessary to ensure the proper functioning of the economy, facilitate sustainable flows of sufficient credit and liquidity funds, and further the smooth functioning of the payment system.
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Financial Stability Report - First Half of 2022. Banco de la República, September 2023. http://dx.doi.org/10.32468/rept-estab-fin.sem1.eng-2022.
Full textAbstract:
Banco de la República’s main objective is to preserve the purchasing power of the currency in coordination with the general economic policy that is intended to stabilize output and employment at long-term sustainable levels. Properly meeting the goal assigned to the Bank by the 1991 Constitution critically depends on preserving financial stability. This is understood to be a general condition in which the financial system evaluates and manages the financial risks in a way that facilitates the economy’s performance and efficient allocation of resources while, at the same time, it is able to, on its own, absorb, dissipate, and mitigate the appearance of risks that may arise as a result of adverse events. This Financial Stability Report provides Banco de la República’s diagnosis of the financial system’s and the recent performance of its debtors as well as of the main risks and vulnerabilities that could affect the stability of the Colombian economy. That is why the financial market participants and the public are being informed, and public debate on trends and risks affecting the system is being encouraged. The results presented here also serve the monetary authority as a basis for making decisions that will enhance financial stability in the general context of its objectives. This edition marks the twentieth anniversary of the Financial Stability Report, which was first published in July 2002. Over these past twenty years, the credit and macroprudential policy framework in Colombia has been continuously reinforced while financial regulation and supervision have closely followed international standards. As a result the Colombian financial system has expanded its services to the economy and has weathered diverse economic circumstances while remaining sound and stable, since 2002. Over the course of time, the Financial Stability Report has been and continues to be permanently updated by Banco de la República in order to improve its usefulness to the general public. The analysis presented in this Report allows us to conclude that the recovery of lending activity in Colombia has been consolidated in recent months. Credit (in all its categories) has picked up and the decline in past-due and risky loans continues. The capital adequacy and liquidity indicators of credit institutions are comfortably above the regulatory minimums. The performance of credit institutions and nonbanking financial institutions, in a context of increased market volatility, reflects the soundness and stability of the Colombian financial system. At the same time, the combination of various global events and the recent trend in lending poses some vulnerabilities for the stability of the financial system. First, as mentioned in the previous edition of the Report, the exposure of the Colombian economy and financial institutions to sudden changes in global financial conditions has persisted in recent months in an environment of high uncertainty. Second, recent months have seen a rapid expansion of loans to households in Colombia in both the housing category and, especially, the consumer category. The trend in credit growth could eventually cause fragilities given that the ratio of household indebtedness to disposable income is around its historical maximum. In any case, the results presented in this Report indicate that the financial system has shown itself to be sufficiently resilient to adverse scenarios on both vulnerability fronts. In compliance with its constitutional objectives and in coordination with the financial system’s security network, Banco de la República will continue to closely monitor the outlook for financial stability at this juncture and will make the decisions that are necessary to ensure the proper functioning of the economy, facilitate the flow of sufficient credit and liquidity resources, and further the smooth functioning of the payment system. Leonardo Villar Gómez, Governor
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Financial Stability Report - Second Half of 2022. Banco de la República, September 2023. http://dx.doi.org/10.32468/rept-estab-fin.sem2.eng-2022.
Full textAbstract:
Banco de la República’s main goal is to preserve the purchasing power of the currency in coordination with the general economic policy that is intended to stabilize output and employment at long-term sustainable levels. Properly meeting the goal assigned to the Bank by the 1991 Constitution critically depends on preserving financial stability. This is understood to be a general condition in which the financial system evaluates and manages the financial risks in a way that facilitates the suitable performance of the economy and efficient allocation of resources while, at the same time, it is able to absorb, dissipate, and mitigate the appearance of risks that may arise as a result of adverse events. This Financial Stability Report meets the goal of giving Banco de la República’s diagnosis of the financial system’s and its debtors’ recent performance as well as of the main risks and vulnerabilities that could affect the stability of the Colombian economy. The Report is intended to inform the public and the participants in the financial markets about the trends and risks affecting the system and it also intends to promote public debate on this subject. The results presented here also serve as a basis for the monetary authority to assess the effects and risks of monetary policy at the current situation and to adopt measures under its purview to promote financial stability. The analysis presented in this edition of the Report leads to the conclusion that there has been a strong credit trend in Colombia in the last few months that is consistent with the strength of economic activity. Credit continues to grow (in all its categories and especially in consumer loans) while past-due and risky loans continue to decline for the aggregate portfolio. In general terms, the favorable performance of credit establishments (CIs) in a context of tighter financial conditions and greater volatility in financial markets continues to reflect the soundness and stability of the Colombian financial system. In spite of exhibiting a recent decline, CIs are keeping liquidity and capital adequacy indicators well above the regulatory minimums. Its aggregate profitability, in turn, returned to the levels seen before the pandemic shock and showed a positive performance in financial intermediation activities. With respect to non-bank financial institutions, the recent volatility of the financial markets has led to reductions in their level of assets due to the devaluations in their investment portfolios. This has been reflected mainly in reduced profitability for Trust Companies (TC) and Pension Fund Managers (PFM). In line with the positive performance of economic activity in 2021 and so far in 2022, the rapid surge in household loans in Colombia, especially consumer loans together with the high levels of household debt to disposable income ratio is still considered a source of vulnerability for the stability of the Colombian financial system just as it was in the previous edition of this Report (see section 2.2.2). In addition, given the large current account deficit and the foreign financing needs, the exposure of the Colombian economy and financial institutions to changes in financial conditions persists in a global environment of high uncertainty. In any case, the results presented in this Report indicate that the financial system has shown to be resilient to the materialization of adverse scenarios (see Chapter 3). In compliance with its constitutional objectives and in coordination with the financial system’s security network, Banco de la República will continue to closely monitor the financial stability outlook at this juncture and will make the necessary decisions to ensure the proper functioning of the economy, facilitate the sufficient flow of credit and liquidity resources, and promote the smooth functioning of the payment system. Box 1: Insurance Industry Performance During the Covid-19 Pandemic - Financial Stability Report, Second Half of 2022. Gualtero-Briceño, Daniela and Pirateque-Niño, Javier Eliecer Box 2: Recent Trends in the Financial Position of Households - Financial Stability Report, Second Half of 2022. Gómez-Molina, Andrés Camilo; Mariño-Martínez, Juan Sebastián and Osorio-Rodríguez, Daniel Box 3: A Description of the Foreign Exchange Risk of Real Sector Firms in Colombia in 2021 - Financial Stability Report, Second Half of 2022. Carmona-Duarte, Alvaro; Martinez-Osorio, Adrian and Niño-Cuervo, Jorge Jorge Niño