Dissertations / Theses on the topic 'Réseaux mobiles cellulaires'
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Boumerdassi, Selma. "Mécanismes prédictifs d'allocation de ressources dans les réseaux cellulaires." Versailles-St Quentin en Yvelines, 1998. http://www.theses.fr/1998VERS0020.
Full textKobbane, Abdellatif. "Evaluation des performances dans les réseaux cellulaires WCDMA avec des applications multimédia." Avignon, 2008. http://www.theses.fr/2008AVIG0159.
Full textA major evolution of the third generation systems (3G) compared with those of second generation (2G), is the possibility to offer high and very high rates services. It allows the introduction of the new services and chiefly supports data transmissions. It’s expected that data services will form the biggest part of the traffic in 3G network. These services coexist with the voice service, which is already present in 2G systems. Therefore, schemes witch mixed traffic should be considered. The existence of the different types of traffic will lead then to an increased complexity and make management of the resources radios a real issue. The development of communication systems is limited currently by the constraints on the capacity of these systems. Indeed, the increase of the number of simultaneous access generates interference that deteriorates the quality of end to end the communication. The definition of the capacity of the WCDMA cellular network is bounded by the number of simultaneous calls or the rate of arrival that guarantees a reject probability lower than some given threshold (Erlang capacity ). In this thesis we explicitly calculate the capacity of uplink case the WCDMA systems in presence of two types of traffic. Namely real time calls (RT) and non real time calls (BE). We use two approaches to study the performances of this system to know indeed, we used the spectral analysis method and the singular perturbation method based on the approximation. We then compare the two approaches and validate our results using NS2 simulator. There after we bend a survey of the performances of a heterogeneous system, composed of two different topologies a UMTS subsystem and an Ad-hoc subsystem
Bejaoui, Tarek. "Gestion des ressources et qualité de service dans les réseaux mobiles multimédias." Paris 11, 2005. http://www.theses.fr/2005PA112125.
Full textIn mobile cellular networks, the integration of multimedia services over the radio interface prone to some problems. The most important is the bandwidth, more limited than in wireline networks. Radio resource management is by far the critical problem of these networks and the optimization of the resource allocation proves to be crucial to integrate the high bit rate support. This thesis intended to develop new resource allocation policies in order to satisfy the increasing demands of multimedia users in termsof quality of service (QoS), characterized by the appreciation thresholds of the considered application. These protocols, proposed for GPRS (General Packet Radio Service) and UMTS (Universal Mobile Telecommunication System) multiservices networks, take into account the propagation environment and the users' mobility and their effects on offered QoS. For these two types of networks, new Connection Admission Control (CAC) policies have been proposed. Their aims are to provide better QoS to the accepted sessions, while limiting the amount of traffic in the network. This new function takes into consideration both maximum packet waiting delay tolerated for every class of service and interferences generated in the system. Comparing them to some reference protocols adapted to multimedia, our proposed radio resource allocation algorithms provide the best results
Senouci, Sidi-Mohammed. "Application de techniques d'apprentissage dans les réseaux mobiles." Paris 6, 2003. http://www.theses.fr/2003PA066485.
Full textAbdennebi, Marwen. "Réseaux cellulaires auto configurables : plan contrôle et accès usager." Versailles-St Quentin en Yvelines, 2008. http://www.theses.fr/2008VERS0017.
Full textMesh/ad hoc networks allow high performances and fast deployment thanks to self configuring capabilities but suffer from the lack of user mobility management and telephony support. We then propose a mixed architecture, cellular for users, and meshed for the operator. Appropriate functions related to configuration and mobility management are defined for the network. Performance evaluations were done for a WiMAX meshed infrastructure using an analytical model and under NS2 tool for ad hoc Wi-Fi and satellite networks. Then, we were interested in the cellular access between user and the base station for a good support of telephony applications. We first propose to enhance WiMAX voice support with a statistical multiple access scheme that takes advantage of the whole frame structure. Thereafter, we generalised the statistical access scheme and proposed a distributed scheduling algorithm that takes into account the downlink state. A 3 states source model was used for a refined prediction
Daher, Alaa. "Optimisation des réseaux cellulaires pour les communications professionnelles critiques." Thesis, Université Paris-Saclay (ComUE), 2019. http://www.theses.fr/2019SACLT009/document.
Full textBusiness- and mission-critical communications are communications between professional users either from the public safety sector or operating critical infrastructures. Owing to special coverage, priority access, reliability and resilience requirements, as well as additional services for professional users, these communications are conveyed by Professional Mobile Radio (PMR) networks. Driven by the demand growth, significant changes are taking place in the PMR industry. The existing PMR technologies are indeed not well suited to provide high data rates mobile services like video and photo transfers; hence, the adoption of commercial technologies for mission-critical communications is gaining strong momentum. On the other hand, the next generation cellular networks are envisioned to support a large variety of applications and services with heterogeneous performance requirements, i.e., enhanced Mobile BroadBand (eMBB), massive Machine-Type Communications (mMTC) and Ultra-Reliable Low Latency Communications (URLLC). Recently, mission-critical communications have been classified in a URLLC use case family, characterized by the need to a higher priority over other communications in the networks.In this context, we focus on enhancing the coverage of wireless networks providing group communications, the main service allowed by PMR networks, taking advantage of the current technologies (e.g. Multimedia Broadcast/Multicast Service), to meet the mission-critical communications needs. First, we evaluate the performance of unicast and multicast transmission techniques, i.e., the Multicast/Broadcast Single Frequency Network (MBSFN) and Single-Cell Point-To-Multipoint (SC-PTM), in terms of radio quality, system spectral efficiency and cell coverage, assuming static MBSFN configurations. Then, we introduce an analytical model to derive an approximate closed-form formula of the Signal to Interference plus Noise Ratio (SINR) in a MBSFN network.Furthermore, we propose a simple repetition scheme without request, as an alternative to Hybrid Automatic Repeat re-Quest (HARQ), in the aim of improving the network coverage in presence of group communications. By considering the wireless channel characteristics, as well as the service delay constraints, we show that our proposed scheme provides significant gains over traditional repetition schemes.Finally, we assess the trade-off in the cluster’s size of serving cells which arises between network coverage and capacity in multi-point transmissions. We formulate an optimization problem to maintain an acceptable system blocking probability, while maximizing the average SINR of the multicast group users. For group calls, a dynamic cluster of cells is selected based on the minimization of a submodular function that takes into account the traffic in every cell through some weights and the average SINR achieved by the group users. Traffic weights are then optimized using a Nelder-Mead simplex method with the objective of tracking a blocking probability threshold. Results show the importance of dynamic clustering in improving system capacity and coverage
Alvarez, Corrales Luis. "Communications coopératives pour des très grands réseaux cellulaires." Electronic Thesis or Diss., Paris, ENST, 2017. http://www.theses.fr/2017ENST0055.
Full textRecent studies have set the problem of base station cooperation within the framework of stochastic geometry, where the irregularity of the base station positions can be considered. Some authors study the case when the user can dynamically choose the set of stations cooperating for its service. This assumption is not realistic. Instead, other authors propose to form the groups in a static way. To be optimal, these static methodologies should consider proximity between the base stations to form the groups. We propose a grouping method based on the nearest neighbor model. We allow the formation of singles and pairs of nodes. We derive structural characteristics for these two processes and analyse the resulting interference fields. When the node positions are modelled by a Poisson point process, the processes of singles and pairs are not Poisson, complicating the corresponding analysis. The performance of the original model, however, can be approximated by the superposition of two Poisson point processes. Numerical evaluation shows coverage gains from different signal cooperation that can reach up to 15%, compared with the standard noncooperative case. For the cooperation to be meaningful, each station in a group should have sufficient resources to share, besides being close to each other. Thus, we redefine the nearest neighbors with a metric. The results of our analysis illustrate that cooperation gains strongly depend on the distribution of the available resources over the network
Zagrouba, Rachid. "Contrôle de la mobilité et de la QoS dans les réseaux cellulaires tout IP." Télécom Bretagne, 2007. http://www.theses.fr/2007TELB0051.
Full textThis study deals with QoS and mobility management in the wireless access networks. It is interested in the definition of wireless mobile IP networks both on the access network and the core network. The core network is supposed built on DiffServ and Mobile IP Protocol. We are thus focus mainly in the access network and in particular in the QoS signaling and handover management. The first part of this thesis consists in studying the basic concepts and proposals of QoS and mobility management in wireless IP networks. Then, we give an analysis and comparison of the main frameworks. Next, we define the new challenges for wireless operators and we address some important issues that arise when managing QoS within a wireless IP network. Lastly, we propose a new protocol to provide a set of scenarios and functions needed to couple QoS and mobility management. The proposed protocol, called QoS and Micro Mobility Management (Q3M), enables a network operator to use its network resources more efficiently, increase network performance and minimize signaling traffic. The implementation of Q3M protocol on the France Telecom R&D (Rennes) testbed, as well as the analytical and simulation results, show that Q3M protocol has a good performance in terms of delay establishment of QoS session and blocking probability. The performance of Q3M protocol is very reasonable compared to other related works. The Q3M advantage becomes more important when mobility is high and the network is congested
Nya, Kamtchoum Narcisse. "Modèles multicellulaires pour les réseaux mobiles 4G." Electronic Thesis or Diss., Sorbonne université, 2018. http://www.theses.fr/2018SORUS079.
Full textIn order to meet the ever-increasing need for bandwidth and to offer ever more services, wherever users are, cellular networks are rapidly evolving towards technologies characterized by an increasingly sophisticated radio interface. For example, while the deployment of 4G networks was just beginning, operators already planned the first updates to LTE-A solutions and 5G technologies are currently receiving active attention. These rapid changes are motivated by the explosion of mobile traffic, as shown by numerous studies and observations on current networks. Users equipped with smartphones, tablets, and other mobile devices mainly generate this traffic. However most of models for cellular networks in literature do not take into account mobility of users. Authors who have tried to take into account users' mobility, propose models based on hypotheses like users moving with infinite speed. In this thesis we have developed analytical models for 4G and 5G cellular networks taking into account user mobility in a realistic way. The proposed models were designed to be simple and easy to solve, allowing users and networks performance to be evaluated almost instantaneously. Our first analysis and results where on the impact of mobility in dense LTE-A networks with small cells. We developed two models to access static users performance in small cell with mixed users (static and mobile users). The first model is based on Markov chains and the second one on Processor-Sharing queue. Our second analysis and results where on LTE/LTE-A macrocells with two coding zones and visited by mobile users. We proposed a model based on queuing theory to study the performance of mobile users in a LTE/LTE-A macrocell with different radio conditions over its coverage area. Then, we have then extended these models to the case of homogeneous cellular networks where cells are statistically identical. These models allowed us to show the positive impact of user mobility on performance in a cell or in a network. Moreover, we showed that this performance gain was not a monotonous function of user mobility, which is an important result showing the impact of hard handover implemented in LTE and LTE-A networks on performance. Finally, we turned our attention to heterogeneous networks with different type of cells and visited by users with different profiles (speed, amount of data to be transferred)
Villa, Trapala Tania. "Gestion dynamique de ressources appliquée aux réseaux cellulaires avec interférence." Electronic Thesis or Diss., Paris, ENST, 2013. http://www.theses.fr/2013ENST0054.
Full textThe aim of this thesis is to design, implement and evaluate practical cross-layer algorithms. We focus on LTE and post-LTE uncoordinated networks where interference is a key issue given the new traffic patterns. The goal is to allocate the radio resources in an efficient way. We develop mathematical and computational interference models that allow us to understand the behavior of such networks and we apply an information-theoretic approach to different interference scenarios and traffic characteristics. We have tried to remain as close as possible to practical systems to be able to test the feasibility of the proposed techniques. The thesis deals with performance evaluation of interference scenarios in 4G networks, in particular those arising from small-cell deployments. The work in this thesis also deals with analysis of resource-allocation and incremental-redundancy based hybrid automatic repeat request (HARQ) for bursty interference (or more general time-varying channels) which allows for only partial channel state information at the transmitter. The work is then applied to practical scheduler design for LTE base stations and includes performance analysis for real LTE modems
Hautcoeur, Julien. "Conception d'un matériau transparent et conducteur efficace : application aux antennes-panneaux transparentes pour les réseaux radio cellulaires mobiles." Rennes 1, 2011. http://www.theses.fr/2011REN1S014.
Full textUne synthèse bibliographique des différents matériaux transparents et conducteurs est présentée. L’analyse des performances hyperfréquences des antennes conçues et réalisées à partir de ces matériaux met en évidence la présence de pertes ohmiques et/ou de pertes par effet de peau rédhibitoires à l’obtention de systèmes efficaces. A partir de ce constat, un nouveau matériau transparent et conducteur a été élaboré et caractérisé au Laboratoire. Il est constitué d’un maillage métallique argent/titane déposé en couche mince sur substrat de verre. La largeur des rubans métalliques (~10 µm) et le pas du maillage (~100 µm) utilisés sont situés en-deçà de l’acuité visuelle. Des valeurs de résistance par carré de l’ordre de 0,05 Ω/□ et de transparence optique supérieure à 80 % sont mesurées. L’évaluation radioélectrique du matériau maillé a permis l’établissement de règles de conception pour l’obtention de systèmes hyperfréquences transparents efficaces. Trois topologies antennaire ont été conçues, réalisées, mesurées et discutées : une antenne monopole losange (850 MHz), une antenne monopole filaire (2,05 GHz) et une antenne ultra-large bande (2,5 GHz – 5,4 GHz). L’utilisation du matériau maillé a permis de limiter les pertes ohmiques et les pertes par effet de peau, démontrant ainsi son intérêt dans la réalisation de systèmes hyperfréquences transparents efficaces. Enfin, il est proposé un motif antennaire original respectant les spécifications des stations de base des réseaux cellulaires UMTS 2100. Un prototype d’antenne source transparente de grandes dimensions (30×30 cm2) a été réalisé. Une antenne réseau de 8 sources rayonnantes a enfin été conçue, simulée, et présentée
Kurien, Anish Mathew. "Approches pour la classification du trafic et l’optimisation des ressources radio dans les réseaux cellulaires : application à l’Afrique du Sud." Thesis, Paris Est, 2012. http://www.theses.fr/2012PEST1090/document.
Full textThe growth in the number of cellular mobile subscribers worldwide has far outpaced expected rates of growth with worldwide mobile subscriptions reaching 6 Billion subscribers in 2011 according to the International Telecommunication Union (ITU). More than 75% of this figure is in developing countries. With this rate of growth, greater pressure is placed on radio resources in mobile networks which impacts on the quality and grade of service (GOS) in the network. With varying demands that are generated from different subscriber classes in a network, the ability to distinguish between subscriber types in a network is vital to optimise infrastructure and resources in a mobile network. In this study, a new approach for subscriber classification in mobile cellular networks is proposed. In the proposed approach, traffic data extracted from two network providers in South Africa is considered. The traffic data is first decomposed using traditional feature extraction approaches such as the Empirical Mode Decomposition (EMD) and the Discrete Wavelet Packet Transform (DWPT) approach. The results are then compared with the Difference Histogram approach which considers the number of segments of increase in the time series. Based on the features extracted, classification is then achieved by making use of a Fuzzy C-means algorithm. It is shown from the results obtained that a clear separation between subscriber classes based on inputted traffic signals is possible through the proposed approach. Further, based on the subscriber classes extracted, a novel two-level hybrid channel allocation approach is proposed that makes use of a Mixed Integer Linear Programming (MILP) model to consider the optimisation of radio resources in a mobile network. In the proposed model, two levels of channel allocation are considered: the first considers defining a fixed threshold of channels allocated to each cell in the network. The second level considers a dynamic channel allocation model to account for the variations in traffic experienced in each traffic class identified. Using the optimisation solver, CPLEX, it is shown that an optimal solution can be achieved with the proposed two-level hybrid allocation model
Ben, Othman Jalel. "Intégration multiservices dans un réseau ATM mobile." Versailles-St Quentin en Yvelines, 1998. http://www.theses.fr/1998VERS0019.
Full textVilla, Trapala Tania. "Gestion dynamique de ressources appliquée aux réseaux cellulaires avec interférence." Thesis, Paris, ENST, 2013. http://www.theses.fr/2013ENST0054/document.
Full textThe aim of this thesis is to design, implement and evaluate practical cross-layer algorithms. We focus on LTE and post-LTE uncoordinated networks where interference is a key issue given the new traffic patterns. The goal is to allocate the radio resources in an efficient way. We develop mathematical and computational interference models that allow us to understand the behavior of such networks and we apply an information-theoretic approach to different interference scenarios and traffic characteristics. We have tried to remain as close as possible to practical systems to be able to test the feasibility of the proposed techniques. The thesis deals with performance evaluation of interference scenarios in 4G networks, in particular those arising from small-cell deployments. The work in this thesis also deals with analysis of resource-allocation and incremental-redundancy based hybrid automatic repeat request (HARQ) for bursty interference (or more general time-varying channels) which allows for only partial channel state information at the transmitter. The work is then applied to practical scheduler design for LTE base stations and includes performance analysis for real LTE modems
Kurien, Anish Mathew. "Approches pour la classification du trafic et l'optimisation des ressources radio dans les réseaux cellulaires : application à l'Afrique du Sud." Phd thesis, Université Paris-Est, 2012. http://tel.archives-ouvertes.fr/tel-00794515.
Full textIbrahim, Rita. "Utilisation des communications Device-to-Device pour améliorer l'efficacité des réseaux cellulaires." Thesis, Université Paris-Saclay (ComUE), 2019. http://www.theses.fr/2019SACLC002/document.
Full textThis thesis considers Device-to-Device (D2D) communications as a promising technique for enhancing future cellular networks. Modeling, evaluating and optimizing D2D features are the fundamental goals of this thesis and are mainly achieved using the following mathematical tools: queuing theory, Lyapunov optimization and Partially Observed Markov Decision Process (POMDP). The findings of this study are presented in three parts. In the first part, we investigate a D2D mode selection scheme. We derive the queuing stability regions of both scenarios: pure cellular networks and D2D-enabled cellular networks. Comparing both scenarios leads us to elaborate a D2D vs cellular mode selection design that improves the capacity of the network. In the second part, we develop a D2D resource allocation algorithm. We observe that D2D users are able to estimate their local Channel State Information (CSI), however the base station needs some signaling exchange to acquire this information. Based on the D2D users' knowledge of their local CSI, we provide an energy efficient resource allocation framework that shows how distributed scheduling outperforms centralized one. In the distributed approach, collisions may occur between the different CSI reporting; thus, we propose a collision reduction algorithm. Moreover, we give a detailed description on how both centralized and distributed algorithms can be implemented in practice. In the third part, we propose a mobile relay selection policy in a D2D relay-aided network. Relays' mobility appears as a crucial challenge for defining the strategy of selecting the optimal D2D relays. The problem is formulated as a constrained POMDP which captures the dynamism of the relays and aims to find the optimal relay selection policy that maximizes the performance of the network under cost constraints
Mabed, Hakim. "Modèles et techniques d'optimisation dynamique pour les réseaux radiomobiles." Angers, 2003. http://www.theses.fr/2003ANGE0019.
Full textCellular network design is a crucial task during the conception, the deployment and the extension of radio phone network. The dynamic aspect of cellular network environnent makes difficult the establishment of performance criteria related to the robustness and the upgradeability of networks. The contribution of this thesis is two folds. On the modelling level, we propose several models for frequency planning taking into account short, medium and long term traffic evolution. We present also a bi-criteria model for cell capacity planning. On the algorithmic level, we study several dynamic and multi-criteria optimization techniques based on hybridization of tabu search and genetic algorithm heuristics. Tests are carried out on both fictitious and real word problems in order to validate proposed models and techniques
Ben, Cheikh Battikh Dorra. "Formules de probabilités de coupure pour les réseaux cellulaires : contributions pour les fonctionnalités MIMO, CoMP et de retournement temporel." Electronic Thesis or Diss., Paris, ENST, 2012. http://www.theses.fr/2012ENST0031.
Full textThe implementation of cellular systems have aroused issues related to the design of cellular networks termed to as network dimensioning. It includes the coverage estimation and thetraffic analysis. Simple models and methods are required to reduce the time consumption of these two analysis. At the same time, the growing demand for higher data rates constrained by the scarcity of frequency spectrum, and the requirements in terms of power consumption reduction make the telecommunication community think about new transmission techniques moving from the classical single antenna systems to multiple antenna systems and even the newly envisaged cooperative systems. In this thesis, we provide analytical models to assess the performance of these different cellular network evolutions in terms of outage probabilities. In a first study, we consider multicellular single input single output (SISO) systems. First, we propose two accurate methods to study the joint impact of path-loss, shadowing and fast fading. This system has so far been studied either considering the only impact of path-loss and Rayleigh fading, or considering the same channel model as in our case but providing very complex outage probability expressions. Then, we provide an outage probability expression in a wideband communication context implementing the Time Reversal (TR) transmission technique considering the impact of fast fading. In a second study, we focus on multiple antenna systems. We study the performance of a Multiple Input Multiple Output (MIMO) system implementing a transmit and a receivediversity schemes namely the Alamouti code and the Maximum Ratio Combining (MRC)
Malik, Salman. "Evaluation et Optimisation des Réseaux Sans Fil Denses." Phd thesis, Université Pierre et Marie Curie - Paris VI, 2012. http://tel.archives-ouvertes.fr/tel-00719083.
Full textRebecchi, Filippo. "Délestage de données en D2D : de la modélisation à la mise en oeuvre." Electronic Thesis or Diss., Paris 6, 2015. http://www.theses.fr/2015PA066234.
Full textMobile data traffic is expected to reach 24.3 exabytes by 2019. Accommodating this growth in a traditional way would require major investments in the radio access network. In this thesis, we turn our attention to an unconventional solution: mobile data offloading through device-to-device (D2D) communications. Our first contribution is DROiD, an offloading strategy that exploits the availability of the cellular infrastructure as a feedback channel. DROiD adapts the injection strategy to the pace of the dissemination, resulting at the same time reactive and relatively simple, allowing to save a relevant amount of data traffic even in the case of tight delivery delay constraints.Then, we shift the focus to the gains that D2D communications could bring if coupled with multicast wireless networks. We demonstrate that by employing a wise balance of multicast and D2D communications we can improve both the spectral efficiency and the load in cellular networks. In order to let the network adapt to current conditions, we devise a learning strategy based on the multi-armed bandit algorithm to identify the best mix of multicast and D2D communications. Finally, we investigate the cost models for operators wanting to reward users who cooperate in D2D offloading. We propose separating the notion of seeders (users that carry content but do not distribute it) and forwarders (users that are tasked to distribute content). With the aid of the analytic framework based on Pontryagin's Maximum Principle, we develop an optimal offloading strategy. Results provide us with an insight on the interactions between seeders, forwarders, and the evolution of data dissemination
Rebecchi, Filippo. "Délestage de données en D2D : de la modélisation à la mise en oeuvre." Thesis, Paris 6, 2015. http://www.theses.fr/2015PA066234/document.
Full textMobile data traffic is expected to reach 24.3 exabytes by 2019. Accommodating this growth in a traditional way would require major investments in the radio access network. In this thesis, we turn our attention to an unconventional solution: mobile data offloading through device-to-device (D2D) communications. Our first contribution is DROiD, an offloading strategy that exploits the availability of the cellular infrastructure as a feedback channel. DROiD adapts the injection strategy to the pace of the dissemination, resulting at the same time reactive and relatively simple, allowing to save a relevant amount of data traffic even in the case of tight delivery delay constraints.Then, we shift the focus to the gains that D2D communications could bring if coupled with multicast wireless networks. We demonstrate that by employing a wise balance of multicast and D2D communications we can improve both the spectral efficiency and the load in cellular networks. In order to let the network adapt to current conditions, we devise a learning strategy based on the multi-armed bandit algorithm to identify the best mix of multicast and D2D communications. Finally, we investigate the cost models for operators wanting to reward users who cooperate in D2D offloading. We propose separating the notion of seeders (users that carry content but do not distribute it) and forwarders (users that are tasked to distribute content). With the aid of the analytic framework based on Pontryagin's Maximum Principle, we develop an optimal offloading strategy. Results provide us with an insight on the interactions between seeders, forwarders, and the evolution of data dissemination
Ben, Cheikh Battikh Dorra. "Formules de probabilités de coupure pour les réseaux cellulaires : contributions pour les fonctionnalités MIMO, CoMP et de retournement temporel." Thesis, Paris, ENST, 2012. http://www.theses.fr/2012ENST0031/document.
Full textThe implementation of cellular systems have aroused issues related to the design of cellular networks termed to as network dimensioning. It includes the coverage estimation and thetraffic analysis. Simple models and methods are required to reduce the time consumption of these two analysis. At the same time, the growing demand for higher data rates constrained by the scarcity of frequency spectrum, and the requirements in terms of power consumption reduction make the telecommunication community think about new transmission techniques moving from the classical single antenna systems to multiple antenna systems and even the newly envisaged cooperative systems. In this thesis, we provide analytical models to assess the performance of these different cellular network evolutions in terms of outage probabilities. In a first study, we consider multicellular single input single output (SISO) systems. First, we propose two accurate methods to study the joint impact of path-loss, shadowing and fast fading. This system has so far been studied either considering the only impact of path-loss and Rayleigh fading, or considering the same channel model as in our case but providing very complex outage probability expressions. Then, we provide an outage probability expression in a wideband communication context implementing the Time Reversal (TR) transmission technique considering the impact of fast fading. In a second study, we focus on multiple antenna systems. We study the performance of a Multiple Input Multiple Output (MIMO) system implementing a transmit and a receivediversity schemes namely the Alamouti code and the Maximum Ratio Combining (MRC)
Esrafilian, Omid. "Learning from the sky : design of autonomous radio-enabled unmanned aerial vehicles in mobile cellular networks." Electronic Thesis or Diss., Sorbonne université, 2020. http://www.theses.fr/2020SORUS307.
Full textThe use of UAVs in wireless networks has recently attracted significant attention. The first part of this thesis aims to investigate current works of UAV-aided wireless communications and develop novel methods for both the placement and path design of a UAV as a flying RAN in wireless networks. We highlight how the use of city 3D maps can bring substantial benefits for the reliable self-placement of flying radios.Regardless of the placement or path design, all algorithms operate on the basis of an array of information such as node GPS location, the city 3D map, etc. allowing the prediction of radio signal strengths. While such data may be collected via the network before the actual UAV flight, part or all of the information may also have to be learned by the UAV. In this regard, a part of this thesis is devoted to discussing how to learn such information from the UAV-borne measurements.Assuming the availability of safe cellular connectivity, UAVs are becoming promising for a wide range of applications such as transportation, etc. The main challenge in these areas is the design of trajectories that guarantee reliable cellular connectivity all along the path while allowing the completion of the UAV mission. Hence, in the second part of this thesis, we propose a novel approach for optimal path design between an initial and terminal points by leveraging on a coverage map. Lastly, we discuss the experimental verification of the placement algorithm of a UAV relay in LTE networks
Chen, Guangshuo. "Human Habits Investigation : from Mobility Reconstruction to Mobile Traffic Prediction." Thesis, Université Paris-Saclay (ComUE), 2018. http://www.theses.fr/2018SACLX026/document.
Full textThe understanding of human behaviors is a central question in multi-disciplinary research and has contributed to a wide range of applications. The ability to foresee human activities has essential implications in many aspects of cellular networks. In particular, the high availability of mobility prediction can enable various application scenarios such as location-based recommendation, home automation, and location-related data dissemination; the better understanding of mobile data traffic demand can help to improve the design of solutions for network load balancing, aiming at improving the quality of Internet-based mobile services. Although a large and growing body of literature has investigated the topic of predicting human mobility, there has been little discussion in anticipating mobile data traffic in cellular networks, especially in spatiotemporal view of individuals.For understanding human mobility, mobile phone datasets, consisting of Charging Data Records (CDRs), are a practical choice of human footprints because of the large-scale user populations and the vast diversity of individual movement patterns. The accuracy of mobility information granted by CDR depends on the network infrastructure and the frequency of user communication events. As cellular network deployment is highly irregular and interaction frequencies are typically low, CDR data is often characterized by spatial and temporal sparsity, which, in turn, can bias mobility analyses based on such data and cause the loss of whereabouts in individual trajectories.In this thesis, we present novel solutions of the reconstruction of individual trajectories and the prediction of individual mobile data traffic. Our contributions address the problems of (1) overcoming the incompleteness of mobility information for the use of mobile phone datasets and (2) predicting future mobile data traffic demand for the support of network management applications.First, we focus on the flaw of mobility information in mobile phone datasets. We report on an in-depth analysis of its effect on the measurement of individual mobility features and the completeness of individual trajectories. In particular, (1) we provide a confirmation of previous findings regarding the biases in mobility measurements caused by the temporal sparsity of CDR; (2) we evaluate the geographical shift caused by the mapping of user locations to cell towers and reveal the bias caused by the spatial sparsity of CDR; (3) we provide an empirical estimation of the data completeness of individual CDR-based trajectories. (4) we propose novel solutions of CDR completion to reconstruct incomplete. Our solutions leverage the nature of repetitive human movement patterns and the state-of-the-art data inference techniques and outperform previous approaches shown by data-driven simulations.Second, we address the prediction of mobile data traffic demands generated by individual mobile network subscribers. Building on trajectories completed by our developed solutions and data consumption histories extracted from a large-scale mobile phone dataset, (1) we investigate the limits of predictability by measuring the maximum predictability that any algorithm has potential to achieve and (2) we propose practical mobile data traffic prediction approaches that utilize the findings of the theoretical predictability analysis. Our theoretical analysis shows that it is theoretically possible to anticipate the individual demand with a typical accuracy of 75% despite the heterogeneity of users and with an improved accuracy of 80% using joint prediction with mobility information. Our practical based on machine learning techniques can achieve a typical accuracy of 65% and have a 1%~5% degree of improvement by considering individual whereabouts.In summary, the contributions mentioned above provide a step further towards supporting the use of mobile phone datasets and the management of network operators and their subscribers
Chamaret, Blaise. "Outils de planification pour les réseaux cellulaires." Saint-Etienne, 1999. http://www.theses.fr/1999STET4002.
Full textLagrange, Xavier. "Analyse de performances des réseaux cellulaires hiérarchiques." Paris, ENST, 1998. http://www.theses.fr/1998ENST0009.
Full textKhedher, Houda. "Mécanismes pour la planification et l'ingénierie des réseaux cellulaires." Lyon, INSA, 2005. http://www.theses.fr/2005ISAL0013.
Full textWe propose a general mobility model to characterize different mobility related traffic parameters within the service urban area. Starting with the analysis of the performance data collected in a real cellular network, we focus on the optimization in the context of a conversational service. The covered area is representative since it includes all the typical urban area such as business centers, residential centers and highways. We split the urban area up to several sub areas (residential, highways, business centre, downtown, industrial zone, university, tourist zone and shopping centre) according to the population activity and traffic characteristics. Each activity area gathers together a number of cells sharing the same characteristics. We define certain statistical distributions of the arrival processes namely fresh traffic and handover traffic and channel holding time. Then, we derive a traffic modelling in order to deduce the impact of each area on other areas and all kinds of interactions. Or approach is entirely statistical to derive distributions by means of the Kolmogorov Smirnov goodness of fit test. Using simulation with realistic hypotheses of a finite number of mobile users, call duration, channel holding lime and inter-arrival times are generated randomly by suitable exponential distributions. The cell transition process follows the transition probability matrix. Main system performance parameters in terms of blocking probability of new calls and handover blocking probability are computed and compared with measurements. Our model can be employed to evaluate the performance of realistic networks and to describe the impact on planning process
Kamal, Mahmoud Hany. "Allocation dynamique du spectre pour les réseaux d'accès cellulaires." Paris, Télécom ParisTech, 2010. http://www.theses.fr/2010ENST0036.
Full textIn this thesis, we develop DSA (Dynamic Spectrum Allocation) systems while adopting the cellular operators point of view. The proposed algorithms are all based on the idea of sharing a common pool of spectral resources between different operators or different access networks. The thesis work focuses on packet traffic services while both technical and pricing aspects are taken into consideration. We propose several utility functions to be maximized taking into account spectrum price and end-user quality of service. We adopt centralized as well as distributed models while designing algorithms for DSA and we investigate both mono-operator and multi-operator cases. Our algorithms first take advantage of temporal heterogeneities of the traffic with the aim of a more efficient usage of the spectrum. This efficiency is obtained by adapting the amount of allocated spectrum to the network loads. The proposed DSA algorithms are based on different methods: SMDP (Semi Markov Decision Process), Q-learning, Game Theory and heuristics. The way DSA algorithms make use of the spatial heterogeneity of the traffic is our last research axis. Here, we focus on the allocation of spectral resources to individual cells of a network. We propose an approach based on Tabu search. We show that, for the different studied scenarios, the DSA algorithms allow the operator to gain more rewards than with the traditional FSA (Fixed Spectrum Allocation). The DSA algorithms also reduces the spectrum usage while maintaining an acceptable end-user QoS. In some cases, they achieve a lower blocking probability. DSA gains are particularly significative at low and moderate load conditions
Martin, Loïc. "Conception d’une antenne compacte de station de base pour réseaux cellulaires." Thesis, Nantes, 2017. http://www.theses.fr/2017NANT4009/document.
Full textCellular networks undergo majors changes in the world. Several standards have been deployed since 1980. The enthusiasm of the general public quickly saturated the first generations and the number of services increases for every standard. Development of a new one is the occasion to find new ways to simplify the radio architecture in order to relieve consumers high quality of service. Today, this radio architecture has been simplified but base station antennas have become more and more critical for their size and create problems in towns specially. Moreover, constraints from the government and consumers associations contest deployment of new base station. Works of the thesis are focused on increasing base station antenna gain based on two different technologies. Then, conception of compact radiating elements was developed and presented through a small array. Good results open new perspectives to realize a compact multiband base station antenna thanks to new compact radiating element sized in others frequency bands
Adjakple, Pascal Mèdétinmè. "Affectation de canaux dans les réseaux de téléphonie mobile cellulaire." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape17/PQDD_0028/NQ37371.pdf.
Full textJaziri, Aymen. "Tracking traffic peaks in mobile networks and the impact of its imperfection on system performances." Thesis, Evry, Institut national des télécommunications, 2016. http://www.theses.fr/2016TELE0020/document.
Full textThe continuous increasing traffic in cellular networks has forced the mobile operators to look for efficient and viable options to manage their networks so as to ensure more efficiency over the network life cycle while also evolving with the implementation of new technologies. Traffic hotspot localization can help operators to identify the areas where deploying small cells can reduce the congestion. We firstly propose and assess a new traffic hotspot localization method based on the projection of O&M KPIs on the coverage map. Compared to probing methods, the computational costs and the equipment expenditures are reduced. Moreover, the localization accuracy is improved. Next, in order to evaluate the impact of the limited accuracy of traffic localization tools on small cell deployment, we study the performances of three different scenarios. The first one considers a network of macrocells only and represents a benchmark to decide about the usefulness of small cells. The second one is based on a network of macrocells with a perfectly deployed small cell allowing to identify the limitations of small cell deployment and the last one is with an imperfectly deployed small cell. Realizing that a significant amount of cellular demand is generated on the go and suffers deteriorating quality, we investigate the potential performance gains of using moving small cells. The major outcome is to understand if moving cells leverage the relative operators' investments. Finally, we propose a new mobile data offloading mechanism which capitalizes on drone small cells to alleviate the data traffic load. We realize a performance evaluation and comparison with classic small cell deployment
Baert, Anne-Elisabeth. "Graphes aléatoires et diffusion dans les réseaux cellulaires : modélisation combinatoire et probabiliste." Amiens, 2003. http://www.theses.fr/2003AMIE0304.
Full textMoalic, Laurent. "Modélisation dynamique de la densité de population via les réseaux cellulaires et optimisation multiobjectif de l'auto-partage." Thesis, Besançon, 2013. http://www.theses.fr/2013BESA2051/document.
Full textMany decision-making problems in the real world are NP-hard. These problems commonly feature several mutually-contradictory objectives to be optimized simultaneously. Multiobjective metaheuristics provide particularly effective means of addressing this class of problems. Moreover, for transportation problems, the development of models able to evaluate the spatiotemporal evolution of a population is essential. In our research, we are interested in the complete chain guiding a decision in the fields of transportation and territory planning. We consider the two main phases involved in the decision-making process: building a population mobility model and developing a hybrid metaheuristic to solve multiobjective optimization problems. In order to compute the evolution of population presence on a territory, in this thesis we propose a new mobility model; its originality lies in employing new data from mobile phone networks as well as geographic and socio-economic information to indicate the attractiveness of the territory. We have also developed a heuristic to solve multiobjective problems: following the study of the influence of several operators on the Pareto front, we have designed a hybrid memetic heuristic that is significantly more effective than reference approaches. The two main phases of modelling and optimizing have been tested and validated in a real context, allowing us to develop a decision-making software platform that can be used to provide station locations for an electric car-sharing service
Song, Jian. "A Stochastic Geometry Approach to the Analysis and Optimization of Cellular Networks." Thesis, Université Paris-Saclay (ComUE), 2019. http://www.theses.fr/2019SACLS545.
Full textThe main focus of this thesis is on modeling, performance evaluation and system-level optimization of next-generation cellular networks by using stochastic geometry. In addition, the emerging technology of Reconfigurable Intelligent Surfaces (RISs) is investigated for application to future wireless networks. In particular, relying on a Poisson-based abstraction model for the spatial distribution of nodes and access points, this thesis develops a set of new analytical frameworks for the computation of important performance metrics, such as the coverage probability and potential spectral efficiency, which can be used for system-level analysis and optimization. More specifically, a new analytical methodology for the analysis of three-dimensional cellular networks is introduced and employed for system optimization. A novel resource allocation problem is formulated and solved by jointly combining for the first time stochastic geometry and mixed-integer non-linear programming. The impact of deploying intelligent reflecting surfaces throughout a wireless network is quantified with the aid of line point processes, and the potential benefits of RISs against relaying are investigated with the aid of numerical simulations
Jaziri, Aymen. "Tracking traffic peaks in mobile networks and the impact of its imperfection on system performances." Electronic Thesis or Diss., Evry, Institut national des télécommunications, 2016. http://www.theses.fr/2016TELE0020.
Full textThe continuous increasing traffic in cellular networks has forced the mobile operators to look for efficient and viable options to manage their networks so as to ensure more efficiency over the network life cycle while also evolving with the implementation of new technologies. Traffic hotspot localization can help operators to identify the areas where deploying small cells can reduce the congestion. We firstly propose and assess a new traffic hotspot localization method based on the projection of O&M KPIs on the coverage map. Compared to probing methods, the computational costs and the equipment expenditures are reduced. Moreover, the localization accuracy is improved. Next, in order to evaluate the impact of the limited accuracy of traffic localization tools on small cell deployment, we study the performances of three different scenarios. The first one considers a network of macrocells only and represents a benchmark to decide about the usefulness of small cells. The second one is based on a network of macrocells with a perfectly deployed small cell allowing to identify the limitations of small cell deployment and the last one is with an imperfectly deployed small cell. Realizing that a significant amount of cellular demand is generated on the go and suffers deteriorating quality, we investigate the potential performance gains of using moving small cells. The major outcome is to understand if moving cells leverage the relative operators' investments. Finally, we propose a new mobile data offloading mechanism which capitalizes on drone small cells to alleviate the data traffic load. We realize a performance evaluation and comparison with classic small cell deployment
Langar, Rami. "Mécanismes de Gestion de la Mobilité et Evaluation de Performance dans les Réseaux Cellulaires tout-IP." Phd thesis, Télécom ParisTech, 2006. http://pastel.archives-ouvertes.fr/pastel-00001871.
Full textGarcia, Virgile. "Optimisation du partage de ressources pour les réseaux cellulaires auto-organisés." Phd thesis, INSA de Lyon, 2012. http://tel.archives-ouvertes.fr/tel-00838793.
Full textNuaymi, Loutfi. "Contributions sur les algorithmes de contrôle de puissance équilibrés dans les réseaux cellulaires." Paris, ENST, 2001. http://www.theses.fr/2001ENST0013.
Full textFernandes, Soares Mota Vinicius. "Déchargement (offloading) infrastructuré et dispositif-à-dispositif dans les réseaux cellulaires." Thesis, Paris Est, 2015. http://www.theses.fr/2015PESC1161/document.
Full textThis thesis addresses the overload problem of the Wireless Internet service Providers' (WISP) network. The growth of mobile broadband subscription has been leading several bottlenecks to WISPs, such as, bandwidth availability and resource sharing of over a single cellular cell. WISPs can move off data traffic from its infrastructure by deploying small cells, such as femtocells, to public WiFi networks or, more recently, to device-to-device opportunistic networks. This work evaluates the feasibility to offload mobile data traffic using WiFi hotspots, proposes a framework to opportunistic data offloading and an incentive mechanism to encourage users cooperation. We mapped 3G and WiFi coverage through several bus routes in Paris in order to evaluate how users and WISPs can benefit from the existing infrastructure. Our results indicate that the deployed WISPs access points can offload part of the data traffic, however restrictions such as association time and the authentication process may reduce the amount of offloaded data. We propose a multi-criteria decision-making framework, called OppLite, to offload data from 3G networks using opportunistic device-to-device communications. Trace-driven simulations showed that opportunistic mobile offloading can expand coverage and network efficiency, offloading up to 36% of data in certain scenarios. Thus, the effectiveness of opportunistic mobile offloading depends mainly of the delay tolerance of the applications and whether the user cooperates. Since opportunistic offloading depends on the user's willingness to offer his/her resources to others, we propose a message-based incentive mechanism that builds a reputation rank based on the source of messages received by the forwarding nodes, called MINEIRO. The network supports up to 60% of nodes with selfish behavior without performance degradation in a random mobility scenario. After this threshold, MINEIRO kept the delivery rate and the delay constant. Meanwhile, in a scenario with social-based mobility, selfish behavior degrades the network performance quickly
Neykova, Niya. "Nouvelles formes de communication - nouvelles formes de communauté : (les téléphones cellulaires et les cultures contemporaines des jeunes en Bulgarie)." Thesis, Saint-Etienne, 2014. http://www.theses.fr/2014STET2195/document.
Full textThe aim of this thesis is to analyze the practices of mobile phone use among young Bulgarians (the generation born after the fall of communism in the country), by using the « soft » interdisciplinary approaches of Cultural Studies. These are practices which are bases not only for restructuring of micro cultures, but also for the appearance of new ones. We assume that mobile phones are changing the traditional conditions and ways of expressing identity, of preserving the integrity of a group of belonging, of building hierarchies and forms of authority. In the first place we present the mobile phone in the perspective of the social imaginary, by summarizing repetitive discourses in the products of mass culture. Afterwards we analyze the interpretations that users themselves give to mobile phones, and the means they exploit to create new kinds of social relationships or to legitimize the existing ones, while taking into consideration certain differences in use related to age, gender and social status. Finally we show that mobile phones encourage a specific form of community, the networked individualism, which promotes an individual able to choose and manage his loyalties and his allegiances at any time and at any place. The mobile phone is the most intimate technology. Its acquisition is considered to be a rite of passage that marks the transition to the communication society and its ideologies of transparence and care, and which contributes also to the « domestication » of the situations that happen
Dufrene, Louis-Adrien. "Etude et optimisation de solutions reposant sur les réseaux cellulaires existants pour l'internet des objets." Thesis, Rennes, INSA, 2017. http://www.theses.fr/2017ISAR0022/document.
Full textThe Internet of Things (loT) is a concept, where a large number of connected devices are communicating together through the same network, constituting an autonomous and intelligent entity. The increasing number of connected devices and IoT services confirms the growing interest for the loT and its applications. To provide connectivity to the devices, several dedicated wireless low power and wide area networks have been created. Recently, with the Release 13, the 3GPP decided to modify the 2G and 4G technologies, to be able to also provide such connectivity for the loT devices, creating the field of Cellular-loT. These evolutions imply a coverage extension compared to the legacy technologies. To obtain this extension, these new standards especially use a blind repetition mechanism. In this context, this thesis studies the performance of several diversity combiners at the receiver, and observes the impact of the temporal evolution of the propagation channel and of imperfections in the receiver. The 2G GSM system is chosen as the application case. Firstly, we consider a receiver without imperfection. Secondly, we consider imperfect frequency synchronization in the receiver. Then, we consider imperfect channel estimation and propose a hybrid combining scheme, obtained by mixing two different combining mechanisms. Finally, in the last part of our study, we carry out a hardware implementation of the system into a software-radio platform. With the theoretical and simulation results provided in this thesis, one can better evaluate the potential of each combining scheme proposed in the framework of loT communications to efficiently benefit from blind repetition mechanisms
Naboulsi, Diala. "Analysis and exploitation of mobile traffic datasets." Thesis, Lyon, INSA, 2015. http://www.theses.fr/2015ISAL0084/document.
Full textMobile devices are becoming an integral part of our everyday digitalized life. In 2014, the number of mobile devices, connected to the internet and consuming traffic, has even exceeded the number of human beings on earth. These devices constantly interact with the network infrastructure and their activity is recorded by network operators, for monitoring and billing purposes. The resulting logs, collected as mobile traffic datasets, convey important information concerning spatio-temporal traffic dynamics, relating to large populations with millions of individuals. The thesis sheds light on the potential carried by mobile traffic datasets for future cellular networks. On one hand, we target the analysis of these datasets. We propose a usage patterns characterization framework, capable of defining meaningful categories of mobile traffic profiles and classifying network usages accordingly. On the other hand, we exploit mobile traffic datasets to evaluate two dynamic networking solutions. First, we focus on the reduction of energy consumption over typical Radio Access Networks (RAN). We introduce a power control mechanism that adapts the RAN's power configuration to users demands, while maintaining a geographical coverage. We show that our scheme allows to significantly reduce power consumption over the network infrastructure. Second, we study the problem of topology management of future Cloud-RAN (C-RAN). We propose a mobility-driven dynamic association scheme of the C-RAN components, which takes into account users traffic demand. The introduced strategy is observed to lead to important savings in the network, in terms of handovers
Jedidi, Azza. "Mise en oeuvre de nouveaux services dans le cadre du couplage d'un réseau de diffusion de télévision mobile personnelle et d'un réseau cellulaire 3G." Rennes 1, 2010. http://www.theses.fr/2010REN1S142.
Full textNext generation networks aim to offer sophisticated and rich multimedia services, more and more demanding in terms of mobility, interactivity, data rate, etc. To deal with such constraints, next generation networks result from the convergence of different existing technologies, taking benefit from their complementary properties. In this context, this study addresses the coupling between a DVB-SH network and a 3G cellular network. On the one hand, DVB-SH offers very high broadcast capacities, suitable for mobile TV services. However, DVB is a unidirectional network. On the other hand, 3G network is bidirectional and provides service interactivity and personalization. The purpose of this study is to define innovative services that take benefit of the collaboration between 3G network and DVB-SH infrastructure. This contribution is constituted of three parts. In the first one, we define our DVB-SH/3G coupled network. In the second one, we present a service based on 3G popular content switching over DVB residual bandwidth. The service operating mechanisms are described. The transmission delay problem is presented and solution are proposed and evaluated. In the third part, we define a DVB-SH mobile TV services, enriched with 3G personalized contents. The challenges posed by a large scale deployment of the service are finally described together with our proposed solution
Arya, Azin. "Localisation à base d'empreintes radios (fingerprinting) : méthodes robustes de positionnement pour les terminaux cellulaires." Phd thesis, Télécom ParisTech, 2011. http://pastel.archives-ouvertes.fr/pastel-00671865.
Full textArya, Azin. "Localisation à base d'empreintes radios (fingerprinting) : méthodes robustes de positionnement pour les terminaux cellulaires." Phd thesis, Paris, Télécom ParisTech, 2011. https://pastel.hal.science/pastel-00671865.
Full textIn regards to the emerging interest for Location Based Services (LBS), this thesis was initiated with the goal of providing "low-cost" and "continuous" LBS to the end users. The Location Fingerprinting (LFP) method has been adopted as the main axis of our studies, where it is investigated in a machine learning perspective. As the first major contribution of this dissertation, we tackled the problem of radio database compression in LFP systems, by reducing the number of records. The cluster analysis in this work was proposed with the goal of reducing the computation and transmission loads, in order to decrease the terminal power consumption in mobile-based LFP systems. We proposed to perform the compression by applying a "clustering" process during the training phase. Once the standard clustering methods were examined, as a next step, a clustering algorithm well-tailored to the structure of the radio database was proposed. In the next part of the thesis, we tackled the problem of missing data in the RSS-based fingerprinting systems. A specific missing mechanism was proposed to describe the missingness occurring in RSS measurements, issued from the 3GPP-defined scanning process (as in 2G and 3G). Our modeled missing mechanism proceeds based on two parameters: the receiver minimum sensitivity for signal detection, and the maximum number of base stations to be measured in the radio measurements. Next, statistical methods were developed at two different levels, to deal with missing data
Bastug, Ejder. "Les méthodes de caching distribué dans les réseaux small cells." Thesis, Université Paris-Saclay (ComUE), 2015. http://www.theses.fr/2015SACLC017/document.
Full textThis thesis explores one of the key enablers of 5G wireless networks leveraging small cell network deployments, namely proactive caching. Endowed with predictive capabilities and harnessing recent developments in storage, context-awareness and social networks, peak traffic demands can be substantially reduced by proactively serving predictable user demands, via caching at base stations and users' devices. In order to show the effectiveness of proactive caching techniques, we tackle the problem from two different perspectives, namely theoretical and practical ones.In the first part of this thesis, we use tools from stochastic geometry to model and analyse the theoretical gains of caching at base stations. In particular, we focus on 1) single-tier networks where small base stations with limited storage are deployed, 2) multi-tier networks with limited backhaul, and) multi-tier clustered networks with two different topologies, namely coverage-aided and capacity-aided deployments. Therein, we characterize the gains of caching in terms of average delivery rate and mean delay, and show several trade-offs as a function of the number of base stations, storage size, content popularity behaviour and target content bitrate. In the second part of the thesis, we take a more practical approach of proactive caching and focus on content popularity estimation and algorithmic aspects. In particular: 1) We first investigate the gains of proactive caching both at base stations and user terminals, by exploiting recent tools from machine learning and enabling social-network aware device-to-device (D2D) communications; 2) we propose a transfer learning approach by exploiting the rich contextual information extracted from D2D interactions (referred to as source domain) in order to better estimate the content popularity and cache strategic contents at the base stations (referred to as target domain); 3) finally, to estimate the content popularity in practice, we collect users' real mobile traffic data from a telecom operator from several base stations in hours of time interval. This amount of large data falls into the framework of big data and requires novel machine learning mechanisms to handle. Therein, we propose a parallelized architecture in which content popularity estimation from this data and caching at the base stations are done simultaneously.Our results and analysis provide key insights into the deployment of cache-enabled small base stations, which are seen as a promising solution for 5G heterogeneous cellular networks
Ghatak, Gourab. "Millimeter wave multi-RAT small cells for heterogeneous mobile services : performance analysis and optimization." Thesis, Université Paris-Saclay (ComUE), 2019. http://www.theses.fr/2019SACLT010/document.
Full textFuture wireless applications anticipate an explosion in the plethora of use-cases and services, which cannot be sustained by incremental improvements on the existing communication schemes. For this, two research directions are particularly attractive: network densification using small cells and millimeter wave (mm-wave) wave communications. In this thesis, we model and evaluate cellular networks consisting of multi-radio access technique (RAT) mm-wave small cells deployed on top of the legacy macro-architecture. First, we mathematically model a homogeneous deployment of multi-RAT small cells and characterize the user and network performance in terms of signal to interference plus noise ratio (SINR) coverage probability, downlink throughput, and the cell overloading probability. Then, we study users association to different tiers and optimal selection of different RATs, so as to optimize these performance metrics. Generally, cellular network models that assume homogeneous deployments of small cells fail to take into account the nuances of urban blockage characteristics. To address this, we model the small cell locations along the roads of a city, and subsequently, we take into consideration the signal blockages due to buildings or moving vehicles on the roads. In this network, we assume that the operator supports three types of services v.i.z., ultra-reliable low-latency communications (URLLC), massive machine-type communications (mMTC), and enhanced mobile broadband (eMBB) with different requirements. Consequently, we study the optimal RAT selection for these services with varying vehicular blockages. Finally, based on the on-road deployment model of mm-wave small cells, we study a network designed to support positioning and data services simultaneously. We characterize the positioning accuracy based on the localization bounds and then study optimal resource partitioning and beamwidth selection strategies to address varied positioning and data-rate requirements
Khizar, Sadia. "Metrology for 5G edge networks (MEC). Leveraging mobile devices beyond the edge toward task offloading." Electronic Thesis or Diss., Sorbonne université, 2022. http://www.theses.fr/2022SORUS069.
Full textThe pervasiveness of mobile devices equipped with internet connectivity and positioning systems leads us to regard them as a valuable resource to leverage. In this thesis, we tackle the use of mobile devices from a new perspective. We consider the extension of the capacity of the MEC by using the available resources of mobile devices beyond the edge of the infrastructure network. The goal is to leverage their untapped resources to process computation on behalf of the MEC in a distributed way. It is fundamental for the MEC to be aware of its operating environment to rely on mobile nodes. In the first part of the thesis, we have focused on the temporal availability of beyond-the-edge resources. We chose to investigate the co-location of terminals and analyze their persistence in a cell. Then, we turn our attention to task allocation. We shift the focus on the spatio-temporal aspect by quantifying the resources that a cell can provide to perform a MEC task. We estimate the potential amount of computational tasks performed by nodes based on the cumulative presence time in a given cell and a given completion delay. Results provide insight into the possibilities of offloading computing tasks on mobile nodes. Furthermore, it allows knowing the locations where it is advisable to offload tasks and the time duration of tasks offloadable
Fam, Pape Abdoulaye. "Modélisation, analyse et optimisation de réseaux hybrides unicast-broadcast pour la diffusion de services multimédias linéaires et non linéaires." Thesis, Rennes, INSA, 2017. http://www.theses.fr/2017ISAR0002/document.
Full textThe increasing popularity of linear multimedia services such as mobile TV, broadcasting live and sports events to mobile and portable devices, has led to a dramatic growth of the mobile data traffic. Indeed, the reason of this growth is related to the consumption of video content either as a linear service (live TV) or as a non-linear service (time-shifted or on demand), by many users on different devices (tablets, smartphones, laptops, etc.) connected to a cellular network. In cellular networks, these types of services are usually delivered over unicast connections, i.e. as many times as the number of users. This strategy is likely to lead to critical situations, e.g. network congestion at the expense of the quality of service. Thus, to deal with this mobile data traffic explosion and the lack of frequency bands, operators need to densify their radio access network infrastructure (RAN) and deploy heterogeneous and hybrid access networks using multiple technologies (WiFi / small cell (3G / 4G)), that enable data offloading.In this context, this thesis focuses on the definition and optimization of a hybrid network, where a unicast network (LTE) and a broadcast network (DVB-T2 Lite, DVB-NGH, LTE-eMBMS, etc.) cooperate to deliver multimedia content to mobile and portable devices.Firstly, we focus on the modeling and simulation of the hybrid unicast-broadcast network for the delivery of linear services. We consider a coverage extension scenario, where the coverage area of the broadcast network can be adjusted with respect to the distribution of the users and the number of users requesting the service. Using the TU-Wien system level simulator, we evaluate the performance of the hybrid network in terms of capacity, power consumption and energy efficiency.Secondly, with the proposed model, we provide a theoretical method to find an analytical expression of the broadcast coverage area that optimizes the service capacity, the power consumption and the energy efficiency of the hybrid network with respect to the quality of service requirements. Indeed, the theoretical results are in agreements with the simulation ones. Based on the proposed model, we analyze the impact of the number of users requesting the service on the optimal broadcast coverage area.Finally, we focus on the extension of the proposed hybrid network for the delivery of the non-linear services such as video on demand and file download services. We state an optimization problem regarding the constraints of these non-linear services, especially the waiting and downloading time and the transmission errors. This thesis provides great insights on the potential benefits that such hybrid approaches may bring in a context of “4G advanced” and “5G” networks where the UHF broadcasting spectrum is under pressure for being partly or completely attributed to mobile broadband operators due to the predicted explosion of the mobile data traffic
Mdini, Maha. "Anomaly detection and root cause diagnosis in cellular networks." Thesis, Ecole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire, 2019. http://www.theses.fr/2019IMTA0144/document.
Full textWith the evolution of automation and artificial intelligence tools, mobile networks havebecome more and more machine reliant. Today, a large part of their management tasks runs inan autonomous way, without human intervention. In this thesis, we have focused on takingadvantage of the data analysis tools to automate the troubleshooting task and carry it to a deeperlevel. To do so, we have defined two main objectives: anomaly detection and root causediagnosis. The first objective is about detecting issues in the network automatically withoutincluding expert knowledge. To meet this objective, we have proposed an algorithm, WatchmenAnomaly Detection (WAD), based on pattern recognition. It learns patterns from periodic timeseries and detect distortions in the flow of new data. The second objective aims at identifying theroot cause of issues without any prior knowledge about the network topology and services. Toaddress this question, we have designed an algorithm, Automatic Root Cause Diagnosis (ARCD)that identifies the roots of network issues. ARCD is composed of two independent threads: MajorContributor identification and Incompatibility detection. WAD and ARCD have been proven to beeffective. However, many improvements of these algorithms are possible