Letteratura scientifica selezionata sul tema "Future Cellular and IoT Networks"
Cita una fonte nei formati APA, MLA, Chicago, Harvard e in molti altri stili
Consulta la lista di attuali articoli, libri, tesi, atti di convegni e altre fonti scientifiche attinenti al tema "Future Cellular and IoT Networks".
Accanto a ogni fonte nell'elenco di riferimenti c'è un pulsante "Aggiungi alla bibliografia". Premilo e genereremo automaticamente la citazione bibliografica dell'opera scelta nello stile citazionale di cui hai bisogno: APA, MLA, Harvard, Chicago, Vancouver ecc.
Puoi anche scaricare il testo completo della pubblicazione scientifica nel formato .pdf e leggere online l'abstract (il sommario) dell'opera se è presente nei metadati.
Articoli di riviste sul tema "Future Cellular and IoT Networks":
1
Vishnubhatla, Arvind. "Cellular IOT using nRF9160kit". International Journal of Online and Biomedical Engineering (iJOE) 16, n. 15 (15 dicembre 2020): 34. http://dx.doi.org/10.3991/ijoe.v16i15.18987.
Abstract (sommario):
The current vision of internet of things aims at connecting anything with everything. It is estimated that there will be 18 billion connected devices in 2022. Applications like utility meters, robotics, smart street lighting, process automation, solar and wind farms are expected to grow. High end requirements for automated driving, industrial automation and e-health exist. Cellular IOT is expected to bring new use cases to address latest requirements in the market. There is a need to provide large coverage in a power efficient manner while providing a high battery life. There is a need to have a kit which connects seamlessly and has a small form factor. The requirements on latency and throughput are relaxed in some cases while stringent in others. Stringent requirements make use of more radio resources. There is increased demand for system capacity and network availability. In this paper we make use of nRF9160 kit a low-cost device where a reduction in the cost and complexity has been achieved. The performance objectives of coverage, throughput, latency, capacity, power efficiency and complexity are met. This kit provides a reliable and future proof solution in the long term. The kit is built for the global market and allows roaming over multiple networks.
2
Pan, Shin-Hung, e Shu-Ching Wang. "Optimal Consensus with Dual Abnormality Mode of Cellular IoT Based on Edge Computing". Sensors 21, n. 2 (19 gennaio 2021): 671. http://dx.doi.org/10.3390/s21020671.
Abstract (sommario):
The continuous development of fifth-generation (5G) networks is the main driving force for the growth of Internet of Things (IoT) applications. It is expected that the 5G network will greatly expand the applications of the IoT, thereby promoting the operation of cellular networks, the security and network challenges of the IoT, and pushing the future of the Internet to the edge. Because the IoT can make anything in anyplace be connected together at any time, it can provide ubiquitous services. With the establishment and use of 5G wireless networks, the cellular IoT (CIoT) will be developed and applied. In order to provide more reliable CIoT applications, a reliable network topology is very important. Reaching a consensus is one of the most important issues in providing a highly reliable CIoT design. Therefore, it is necessary to reach a consensus so that even if some components in the system is abnormal, the application in the system can still execute correctly in CIoT. In this study, a protocol of consensus is discussed in CIoT with dual abnormality mode that combines dormant abnormality and malicious abnormality. The protocol proposed in this research not only allows all normal components in CIoT to reach a consensus with the minimum times of data exchange, but also allows the maximum number of dormant and malicious abnormal components in CIoT. In the meantime, the protocol can make all normal components in CIoT satisfy the constraints of reaching consensus: Termination, Agreement, and Integrity.
3
Ahmed Osman, Radwa, e Amira I. Zaki. "Energy-Efficient and Reliable Internet of Things for 5G: A Framework for Interference Control". Electronics 9, n. 12 (17 dicembre 2020): 2165. http://dx.doi.org/10.3390/electronics9122165.
Abstract (sommario):
The Internet of Things (IoT) is one of the promising paradigms that enable massive machines and devices to communicate with each other in future communication networks to promote a high level of awareness about our world and improve our daily life. IoT devices (IoTDs) communicate with an IoT base station (IoTBS) or IoT gateway (IoTG) by sharing the resources of other cellular users (CUEs). Due to the leakage of the spectral efficiency, interference exists among IoTG and base station (BS) due to CUEs and IoTDs. In this paper, a new framework is proposed called the interference control model. This proposed model aims to control the interference among IoTG and BS and is based on using the Lagrange optimization technique to reduce interference and maximize the energy efficiency and reliability of the IoT and cellular networks in fifth-generation (5G) systems. First, we formulate the multi-objective optimization problem to achieve the objective of the proposed model. Then, based on the optimization strategy, we derive the closed-form expressions of key quality-of-service (QoS) performance such as system reliability, throughput, and energy efficiency. Finally, the proposed algorithm has been evaluated and examined through different assumptions and several simulation scenarios. The obtained results validate the effectiveness and the accuracy of our proposed idea and also indicate significant improvement in the network performance of IoT and cellular networks.
4
Kadus, Shubhangi G., e Sagar S. Wabale. "Revolution in IoT with 5G Network". International Journal for Research in Applied Science and Engineering Technology 11, n. 3 (31 marzo 2023): 178–82. http://dx.doi.org/10.22214/ijraset.2023.49297.
Abstract (sommario):
Abstract: Day by day Internet of Things (IoT) is gaining a huge popularity. With increase in popularity the technological advancement is required to fulfil its high data rate demand. The IoT devices will become primary need to next generation. The latest development of devices will build smaller but smart devices in field of IoT. With increase in demand of smart devices IoT architecture will become more complex. The 5G network will fulfil the need to these complex architectures. The 5G networks are expected to massively expand today’s IoT that can boost cellular operations, IoT security, and network challenges and drive the Internet future to the edge. This paper will review the revolution in IoT with introduction of 5G network along with its concept, use cases and security concerns.
5
Abanga, Ellen Akongwin. "A Review of Internet of Things (IoT) and Security Concerns". Advances in Multidisciplinary and scientific Research Journal Publication 10, n. 4 (30 dicembre 2022): 121–30. http://dx.doi.org/10.22624/aims/digital/v10n4p13.
Abstract (sommario):
Wireless technology networks are particularly vulnerable to security attacks. Wireless communication networks are widely used in education, defense, industry, healthcare, retail, and transportation. These systems rely on wired and cellular networks. In society and industry, wireless sensor networks, actuation networks, and vehicle networks have garnered a lot of attention. The Internet of Things has gotten a lot of research attention in recent years. The Internet of Things is regarded as the internet's future. IoT will play an important role in the future, changing our lifestyles, standards, and business structures. The use of IoT in various applications is likely to skyrocket in the next years. The Internet of Things enables billions of devices, people, and services to communicate and exchange information. IoT networks are vulnerable to several security vulnerabilities as a result of the rising use of IoT devices. It is crucial to implement effective privacy and security protocols in IoT networks to guarantee, among other things, confidentiality, authentication, access control, and integrity. This paper provides a thorough analysis of the security and privacy challenges in IoT networks. Keywords: Internet of Things, Security, Security Concerns, Attacks, Networks, Internet
6
Nikhat Akhtar e Yusuf Perwej. "The internet of nano things (IoNT) existing state and future Prospects". GSC Advanced Research and Reviews 5, n. 2 (30 novembre 2020): 131–50. http://dx.doi.org/10.30574/gscarr.2020.5.2.0110.
Abstract (sommario):
The increase of intelligent environments suggests the interconnectivity of applications and the use of the Internet. For this reason, arise what is known as the Internet of Things (IoT). The expansion of the IoT concept gives access to the Internet of Nano Things (IoNT). A new communication networks paradigm based on nano technology and IoT, in other words, a paradigm with the capacity to interconnect nano-scale devices through existing networks. From the interconnection of these nano machines with the Internet emerged the concept of Internet of Nano Things (IoNT). The Internet of Nano-Things (IoNT) is a system of nano connected devices, objects, or organisms that have unique identifiers to transfer data over a computer or cellular network wirelessly to the Cloud. The data delivery, caching, and energy consumption are among the most significant topics in the IoNT nowadays. The nano-networks paradigm can empower the consumers to make a difference to their well-being by connecting data to personalized analysis within timely insights. The real-time data can be used in a diversification of nano-applications in the Internet of Nano-Things (IoNT), from preventive treatment to diagnostics and rehabilitation. In this paper intelligibly explains the Internet of Nano Things (IoNT), its architecture, challenges, explains the role of IoNT in global market, IoNT applications in various domains. Internet of things has provided countless new opportunity to create a powerful industrialized structure and many more. The key applications for IoNT communication including healthcare, transportation and logistics, defense and aerospace, media and entertainment, manufacturing, oil and gas, high speed data transfer & cellular, multimedia, immune system support and others services. In the end, since security is considered to be one of the main issues of the IoNT system, we provide an in-depth discussion on security, communication network and Internet of Nano Things (IoNT) market trends.
7
Zikria, Yousaf, Sung Kim, Muhammad Afzal, Haoxiang Wang e Mubashir Rehmani. "5G Mobile Services and Scenarios: Challenges and Solutions". Sustainability 10, n. 10 (11 ottobre 2018): 3626. http://dx.doi.org/10.3390/su10103626.
Abstract (sommario):
The Fifth generation (5G) network is projected to support large amount of data traffic and massive number of wireless connections. Different data traffic has different Quality of Service (QoS) requirements. 5G mobile network aims to address the limitations of previous cellular standards (i.e., 2G/3G/4G) and be a prospective key enabler for future Internet of Things (IoT). 5G networks support a wide range of applications such as smart home, autonomous driving, drone operations, health and mission critical applications, Industrial IoT (IIoT), and entertainment and multimedia. Based on end users’ experience, several 5G services are categorized into immersive 5G services, intelligent 5G services, omnipresent 5G services, autonomous 5G services, and public 5G services. In this paper, we present a brief overview of 5G technical scenarios. We then provide a brief overview of accepted papers in our Special Issue on 5G mobile services and scenarios. Finally, we conclude this paper.
8
Andrabi, Umer Mukhtar, Sergey N. Stepanov, Juvent Ndayikunda e Margarita G. Kanishcheva. "CELLULAR NETWORK RESOURCE DISTRIBUTION METHODS FOR THE JOINT SERVICING OF REAL-TIME MULTISERVICE TRAFFIC AND GROUPED IOT TRAFFIC". T-Comm 14, n. 10 (2020): 61–69. http://dx.doi.org/10.36724/2072-8735-2020-14-10-61-69.
Abstract (sommario):
Immense growth in the volumes and multiplicity of data to be collected in future Internet of Things (IoT) applications is one of the crucial challenges for the networking organizations as they develop from 4G+ to true 5G systems. Particularly bulk of this traffic includes complex, unstructured and varied data (Big Data) evolve from smart networking ecosystems (LTE-devices, NB-IoT devices). Although 5G offers many low power wide area technologies (Lora WAN, GSM and NB-IoT etc.), principally NB-IoT seems very promising addressing the problem because of its certain characteristics like high fault tolerance, delay tolerance, higher coverage area etc. However, due to the limited bandwidth (180 kHz) availability one of the challenges is how to efficiently use these resources to support and handle massive number of growing IoT devices, also resource management and allocation methodology between LTE and NB-IoT traffic flows. In this context, several key issues for IoT communications in 5G networks should be addressed to satisfy quality of service (QoS) provisioning. In this paper, we proposed a mathematical model for Operator Surveillance systems for sharing radio resources between LTE and NB-IoT. The model utilizes the technique of network slicing for resource management. The proposed techniques provide scenarios that aims to offer a trade-off between the two types of traffics by guaranteeing the network performance and avoiding unproductive utilization of available resources.
9
Nagah, Mohamed, Shimaa Mahmoud, Mohamed Megahed e Mohammed Salama. "Exploring the Applications of 5G Mobile Communication Networks: A Comprehensive Tutorial". International Uni-Scientific Research Journal 4 (2023): 9–14. http://dx.doi.org/10.59271/s44839.023.2206.2.
Abstract (sommario):
Recently, the researches on Mobile 5th Generation (5G) networks have significant developments. All new 5G mobile technology will be around by 2020. The fifth generation (5G) cellular networks are expected to meet high requirements. Large amount of traffic data and enormous number of wireless connections is supported by the Fifth generation (5G) network. 5G mobile network seeks to address the limitations of previous cellular standards (i.e., 2G/3G/4G) and be an approaching key responsible for future Internet of Things (IoT). This paper presents a comprehensive overview of 5G applications which are obtained through information coming from various papers. 5G stakeholders will open up new frontiers of services and applications for next-generation wireless networks. In this paper, the main objective is to present 5G network; it’s applications and also focusing on the Internet of Medical Things (IoMT).
10
Tikhvinskiy, Valery, Grigory Bochechka, Andrey Gryazev e Altay Aitmagambetov. "Comparative Analysis of QoS Management and Technical Requirements in 3GPP Standards for Cellular IoT Technologies". Journal of Telecommunications and Information Technology 2 (29 giugno 2018): 41–47. http://dx.doi.org/10.26636/jtit.2018.122717.
Abstract (sommario):
Optimization of 3GPP standards that apply to cellular technologies and their adaptation to LPWAN has not led to positive results only enabling to compete on the market with the growing number non-cellular greenfield LPWAN technologies – LoRa, Sigfox and others. The need to take into consideration, during the 3GPP standard optimization phase, the low-cost segment of narrow-band IoT devices relying on such new technologies as LTE-M, NB-IoT and EC-GSM, has also led to a loss of a number of technical characteristics and functions that offered low latency and guaranteed the quality of service. The aim of this article is therefore to review some of the most technical limitations and restrictions of the new 3GPP IoT technologies, as well as to indicate the direction for development of future standards applicable to cellular IoT technologies.
Tesi sul tema "Future Cellular and IoT Networks":
1
Djemai, Ibrahim. "Joint offloading-scheduling policies for future generation wireless networks". Electronic Thesis or Diss., Institut polytechnique de Paris, 2024. http://www.theses.fr/2024IPPAS007.
Abstract (sommario):
Les défis posés par le nombre croissant d'appareils connectés, la forte consommation d'énergie et l'impact environnemental dans les réseaux sans fil d'aujourd'hui et de demain retiennent de plus en plus l'attention. De nouvelles technologies telles que le cloud mobile de périphérie (Mobile Edge Computing) ont vu le jour pour rapprocher les services en nuage des appareils et remédier à leurs limitations en matière de calcul. Le fait de doter ces appareils et les nœuds du réseau de capacités de récolte d'énergie (Energy Harvesting) est également prometteur pour permettre de consommer de l'énergie à partir de sources durables et respectueuses de l'environnement. En outre, l'accès multiple non orthogonal (Non-Orthogonal Multiple Access) est une technique essentielle pour améliorer l'efficacité spectral mobile. Avec l'aide des progrès de l'intelligence artificielle, en particulier des modèles d'apprentissage par renforcement (Reinforcement Learning), le travail de thèse porte sur la conception de politiques qui optimisent conjointement l'ordonnancement et la décharge de calcul pour les appareils dotés de capacités EH, les communications compatibles avec le NOMA et l'accès MEC. En outre, lorsque le nombre d'appareils augmente et que la complexité du système s'accroît, le regroupement NOMA est effectué et l'apprentissage fédéré (Federated Learning) est utilisé pour produire des politiques RL de manière distribuée. Les résultats de la thèse valident la performance des politiques RL proposées, ainsi que l'intérêt de l'utilisation de la technique NOMAThe challenges posed by the increasing number of connected devices, high energy consumption, and environmental impact in today's and future wireless networks are gaining more attention. New technologies like Mobile Edge Computing (MEC) have emerged to bring cloud services closer to the devices and address their computation limitations. Enabling these devices and the network nodes with Energy Harvesting (EH) capabilities is also promising to allow for consuming energy from sustainable and environmentally friendly sources. In addition, Non-Orthogonal Multiple Access (NOMA) is a pivotal technique to achieve enhanced mobile broadband. Aided by the advancement of Artificial Intelligence, especially Reinforcement Learning (RL) models, the thesis work revolves around devising policies that jointly optimize scheduling and computational offloading for devices with EH capabilities, NOMA-enabled communications, and MEC access. Moreover, when the number of devices increases and so does the system complexity, NOMA clustering is performed and Federated Learning is used to produce RL policies in a distributed way. The thesis results validate the performance of the proposed RL-based policies, as well as the interest of using NOMA technique
2
Yi, Na. "Cooperative communication for future cellular networks". Thesis, University of Surrey, 2009. http://epubs.surrey.ac.uk/843080/.
Abstract (sommario):
Cellular networks are multi-user communication systems that consist of three basic elements: interference, cooperation, and feedback. A fundamental goal of multi-user systems research is to find out the capacity limit and its achievability of a general model that consists of many senders, receivers, and intermediate nodes. In the past 60 years, a huge amount of research efforts have been paid towards five special problems of multi-user systems: multiple-access channel, broadcast channel, relay channel, crosstalk channel, and feedback channel. Although most of those problems have not received a satisfactory answer yet, rapid development of cellular networks have motivated communication-theoretic research about cooperation in those special channels. The primary objective of this thesis is to study the cooperation theory in relay and crosstalk channels. The overall organisation of this thesis is based on our new vision about cooperative behaviour in communication networks. This new vision indicates that cooperative behaviour in relay and crosstalk networks can be classified into three groups, namely. Postman, Host, and Synergy. The classification is based on how a cooperative node utilises the multi-user side information such as channel quality information (CQI), codebook, message, in various communication scenarios. Specifically, major contributions of this thesis are summarised as follows. The Postman describes cooperative behaviour in relay networks, where a cooperative node offers cooperation by delivering other's message to its desired destination. Our first work in this category is about doubly differential cooperative relaying scheme proposed for mobile communication over rapidly time-varying channel. It is shown that the proposed scheme can enjoy full cooperative diversity-gain without need of full channel state information. The other work in this category is about adaptive bit-power allocation for orthogonal frequency-division multiplexing (OFDM)-based relay networks. Provided full knowledge of CQI, a number of sub-optimum approaches have been proposed to improve the power efficiency through multi-link optimisation. The Host describes cooperative behaviour in cognitive interference networks, where a primary user offers cooperation to a secondary user by opening its own spectrum and sharing knowledge of side information. The work in this category is about overlay and underlay cognitive radio channels, where the primary user broadcasts its private codebook and knowledge of CQI, so that the secondary user can perceive the primary user's message and interference state. Capacity theorem of two-user Gaussian cognitive interference channels have been carefully investigated, based on which power allocation and spectrum access approaches have been proposed in terms of power and spectrum efficiency. The Synergy describes cooperative behaviour in crosstalk channels. A typical example is the cooperative bit-power allocation between two individual transmitter-receiver pairs. One cooperative behaviour is sharing of codebook and CQI between two transmitter-receiver pairs. The purpose of sharing is to maximize their common profit and to allow an optimal treatment of mutual interference. Provided full knowledge of multi-user CQI at transmitters, two transmitter-receiver pairs first perform iterative rate-adaptation to maximize the sum-rate, and then employ proportional fairness for rate allocation.
3
Imran, Ali. "Self organization in future cellular networks". Thesis, University of Surrey, 2011. http://epubs.surrey.ac.uk/842776/.
Abstract (sommario):
This PhD thesis focuses on developing novel self organising functionalities in wireless cellular systems. Since the root cause of suboptimal performance in wireless cellular system is the mismatch between its semi-static design and its dynamically changing environment, the main objective of self organising functionalities is to counter measure the effect of this mismatch. Towards this end, we classify wireless cellular system dynamics based on their time scale into three main classes - short, medium and long term dynamics and develop self organising solution suitable for each class. Through investigation of case studies of self organising systems in nature, we first identify the desirable characteristics of self organising systems. By building on these case studies we propose a general framework called Biomimmetic Self Organising Framework (BSOF), for designing adaptive solution in engineering system that bear characteristics of self organisation. First major contribution of this thesis consists of a novel solution to cope with short term dynamics e.g. pop up hot spots. This solution optimizes antenna tilts in distributed manner for system wide spectral efficiency optimization in face of heterogeneous user geographical distributions. The solution is developed analytically by applying BSOF and its performance is evaluated against centralised fixed tilting benchmarks through system level simulations. Results show a 30% improvement in average spectral efficiency along with advantages of a self organising distributed solution i.e. very low signalling overhead, agility and scalability. Second major contribution in this thesis provides a novel solution to cope with medium term dynamics e.g. uneven traffic load among cells. This solution optimises cell load through cell coverage adaptation in distributed manner in order to minimise system wide average call blocking. The analytical framework behind this solution is developed by following the steps of BSOF. The Numerical results show 280% reduction in average blocking probability compared to no load balancing in place. The performance of this distributed solution is also compared against a bench mark of centrafised control based load balancing algorithm. Results show that a performance very close to the centralised solution can be obtained with proposed distributed solution, with added advantages of a distributed solution. Our final major contribution aims for providing a self organising functionality for long term dynamics e.g. demographical and socio economical changes. First we develop a novel framework for long term performance characterisation of wireless system in terms of three key performance indicators i.e. capacity, quality of service and energy efficiency. Then, by following the steps of BSOF, we develop a novel solution for self organisation of frequency reuse and deployment architecture for joint optimization of spectral efficiency, fairness and energy efficiency.
4
Akbari, Iman. "Enabling self organisation for future cellular networks". Thesis, University of Surrey, 2018. http://epubs.surrey.ac.uk/849661/.
Abstract (sommario):
The rapid growth in mobile communications due to the exponential demand for wireless access is causing the distribution and maintenance of cellular networks to become more complex, expensive and time consuming. Lately, extensive research and standardisation work has been focused on the novel paradigm of self-organising network (SON). SON is an automated technology that allows the planning, deployment, operation, optimisation and healing of the network to become faster and easier by reducing the human involvement in network operational tasks, while optimising the network coverage, capacity and quality of service. However, these SON autonomous features cannot be achieved with the current drive test coverage assessment approach due to its lack of automaticity which results in huge delays and cost. Minimization of drive test (MDT) has recently been standardized by 3GPP as a key self- organising network (SON) feature. MDT allows coverage to be estimated at the base station using user equipment (UE) measurement reports with the objective to eliminate the need for drive tests. However, most MDT based coverage estimation methods recently proposed in literature assume that UE position is known at the base station with 100% accuracy, an assumption that does not hold in reality. In this work, we develop a novel and accurate analytical model that allows the quantification of error in MDT based autonomous coverage estimation (ACE) as a function of error in UE as well as base station (user deployed cell) positioning. We first consider a circular cell with an omnidirectional antenna and then we use a three-sectored cell and see how the system is going to be affected by the UE and the base station (user deployed cell) geographical location information errors. Our model also allows characterization of error in ACE as function of standard deviation of shadowing in addition to the path-loss.
5
Koshi, Virtyt. "Radio planning for future mobile communication networks". Thesis, University of Oxford, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.390488.
6
Larue, Guillaume. "AI models for digital signal processing in future 6G-IoT networks". Electronic Thesis or Diss., Institut polytechnique de Paris, 2023. http://www.theses.fr/2023IPPAT003.
Abstract (sommario):
Les technologies sans fil sont d'une importance capitale pour les sociétés d'aujourd'hui et les futurs réseaux de communication de 6ème génération sont appelés à relever nombre de défis sociétaux et technologiques. Si les infrastructures de communication ont un impact environnemental croissant qu'il est essentiel de réduire, les technologies numériques ont également un rôle à jouer dans la réduction de l'impact de tous les secteurs de l'économie. À cette fin, les réseaux du futurs devront non seulement permettre un transfert d'informations plus efficace, mais aussi répondre aux besoins croissants de capacité d'échange de données. C'est notamment le rôle des cas d'utilisation de l'internet des objets, où un nombre massif de capteurs permet de superviser des systèmes complexes. Ces cas d'utilisation sont associés à de nombreuses contraintes telles que des ressources énergétiques et une complexité limitées. Par conséquent, une couche physique - chargée de la transmission de l'information entre les nœuds du réseau - efficace et peu complexe est absolument cruciale. Dans cette optique, l'utilisation de techniques d'intelligence artificielle est pertinente. D'une part, le cadre mathématique des réseaux neuronaux permet des implémentations matérielles génériques efficaces et peu coûteuses. D'autre part, l'application de procédures d'apprentissage permet d'améliorer les performances de certains algorithmes. Dans ce travail, nous nous intéressons à l'utilisation des réseaux de neurones et de l'apprentissage automatique pour le traitement numérique du signal dans le contexte des réseaux 6G-IoT. En premier lieu, nous nous intéressons à la transcription sous forme de réseaux de neurones de certains algorithmes d'égalisation, de démodulation et de décodage issus de la littérature des communications numériques. Dans un second temps, nous nous intéressons à l'application de mécanismes d'apprentissage sur ces structures de réseaux de neurones afin d'en améliorer les performances. Un décodeur de codes linéaires en bloc est proposé et permet la découverte à l'aveugle d'un schéma de décodage dont les performances sont au moins équivalentes à celles du décodeur de référence. Enfin, une structure de bout en bout est présentée, permettant l'apprentissage conjoint d'un schéma de codage/décodage avec des performances et une complexité comparables aux solutions état de l'artWireless technologies are of paramount importance to today's societies and future 6th generation communication networks are expected to address many societal and technological challenges. While communications infrastructures have a growing environmental impact that needs to be reduced, digital technologies also have a role to play in reducing the impact of all sectors of the economy. To this end, the future networks will not only have to enable more efficient information transfer, but also meet the growing need for data exchange capacity. This is particularly the role of the Internet of Things use cases, where a massive number of sensors allow to monitor complex systems. These use cases are associated with many constraints such as limited energy resources and complexity. Therefore, an efficient and low-complexity physical layer - responsible for the transmission of information between the network nodes - is absolutely crucial. In this regard, the use of artificial intelligence techniques is relevant. On the one hand, the mathematical framework of neural networks allows for efficient and low-cost generic hardware implementations. On the other hand, the application of learning procedures can improve the performance of certain algorithms. In this work, we are interested in the use of neural networks and machine learning for digital signal processing in the context of 6G-IoT networks. First, we are interested in the transcription of certain equalisation, demodulation and decoding algorithms from the digital communications literature into neural networks. Secondly, we are interested in the application of learning mechanisms on these neural network structures in order to improve their performance. A linear block decoder is proposed which allows the blind discovery of a decoding scheme whose performance is at least equivalent to that of the reference decoder. Finally, an end-to-end structure is presented, allowing joint learning of an encoding/decoding scheme with performance and complexity comparable to state-of-the-art solutions
7
Aquilina, Paula. "Advanced interference management techniques for future generation cellular networks". Thesis, University of Edinburgh, 2017. http://hdl.handle.net/1842/28714.
Abstract (sommario):
The demand for mobile wireless network resources is constantly on the rise, pushing for new communication technologies that are able to support unprecedented rates. In this thesis we address the issue by considering advanced interference management techniques to exploit the available resources more efficiently under relaxed channel state information (CSI) assumptions. While the initial studies focus on current half-duplex (HD) technology, we then move on to full-duplex (FD) communication due to its inherent potential to improve spectral efficiency. Work in this thesis is divided into four main parts as follows. In the first part, we focus on the two-cell two-user-per-cell interference broadcast channel (IBC) and consider the use of topological interference management (TIM) to manage inter-cell interference in an alternating connectivity scenario. Within this context we derive novel outer bounds on the achievable degrees of freedom (DoF) for different system configurations, namely, single-input single-output (SISO), multiple-input single-output (MISO) and multiple-input multiple-output (MIMO) systems. Additionally, we propose new transmission schemes based on joint coding across states that exploit global topological information at the transmitter to increase achievable DoF. Results show that when a single state has a probability of occurrence equal to one, the derived bounds are tight with up to a twofold increase in achievable DoF for the best case scenario. Additionally, when all alternating connectivity states are equiprobable: the SISO system gains 11/16 DoF, achieving 96:4% of the derived outer bound; while the MISO/MIMO scenario has a gain of 1/2 DoF, achieving the outer bound itself. In the second part, we consider a general G-cell K-user-per-cell MIMO IBC and analyse the performance of linear interference alignment (IA) under imperfect CSI. Having imperfect channel knowledge impacts the effectiveness of the IA beamformers, and leads to a significant amount of residual leakage interference. Understanding the extent of this impact is a fundamental step towards obtaining a performance characterisation that is more relevant to practical scenarios. The CSI error model used is highly versatile, allowing the error to be treated either as a function of the signal-to-noise ratio (SNR) or as independent of it. Based on this error model, we derive a novel upper bound on the asymptotic mean sum rate loss and quantify the DoF loss due to imperfect CSI. Furthermore, we propose a new version of the maximum signal-to-interference plus noise ratio (Max-SINR) algorithm which takes into account statistical knowledge of the CSI error in order to improve performance over the naive counterpart in the presence of CSI mismatch. In the third part, we shift our attention to FD systems and consider weighted sum rate (WSR) maximisation for multi-user multi-cell networks where FD base-stations (BSs) communicate with HD downlink (DL) and uplink (UL) users. Since WSR problems are non-convex we transform them into weighted minimum mean squared error (WMMSE) ones that are proven to converge. Our analysis is first carried out for perfect CSI and then expanded to cater for imperfect CSI under two types of error models, namely, a norm-bounded error model and a stochastic error model. Additionally, we propose an algorithm that maximises the total DL rate subject to each UL user achieving a desired target rate. Results show that the use of FD BSs provides significant gains in achievable rate over the use of HD BSs, with a gain of 1:92 for the best case scenario under perfect CSI. They also demonstrate the robust performance of the imperfect CSI designs, and confirm that FD outperforms HD even under CSI mismatch conditions. Finally, the fourth part considers the use of linear IA to manage interference in a multi-user multi-cell network with FD BSs and HD users under imperfect CSI. The number of interference links present in such a system is considerably greater than that present in the HD network counterpart; thus, understanding the impact of residual leakage interference on performance is even more important for FD enabled networks. Using the same generalised CSI error model from the second part, we study the performance of IA by characterising the sum rate and DoF losses incurred due to imperfect CSI. Additionally, we propose two novel IA algorithms applicable to this network; the first one is based on minimising the mean squared error (MMSE), while the second is based on Max-SINR. The proposed algorithms exploit statistical knowledge of the CSI error variance in order to improve performance. Moreover, they are shown to be equivalent under certain conditions, even though the MMSE based one has lower computational complexity. Furthermore for the multi-cell case, we also derive the proper condition for IA feasibility.
8
Rasheduzzaman, Mirza. "Contributing towards improved communication systems for future cellular networks". Thesis, University of Sheffield, 2017. http://etheses.whiterose.ac.uk/17686/.
Abstract (sommario):
The rapid growth of wireless communications and upcoming requirements of 5G networks are driving interest in the areas from wireless transceivers to sensor nodes. One of the most vital components of the wireless transmitter is the radio frequency power amplifier. A large-signal device model of the transistor is an essential part of the power amplifier design process. Despite the significant developments in large-signal modelling, the models for commercially available devices from the manufacturers are still under continuous development and often lack accuracy. One of the main objectives of this thesis is the validation and extension of an analytic approach as an alternative to conventional large-signal modelling for power amplifier designing. The first contribution is the derivation of new analytical expressions based on the equivalent circuit model, including the extrinsic parasitic elements introduced by the package, to calculate the optimum source and load impedances and to predict the performance of a radio frequency power amplifier. These expressions allow to evaluate the effects of a package on the optimum impedance values and performance. The second contribution is establishing the accuracy of the analytic approach. Harmonic balance simulation is used as the first benchmark to evaluate the method at various bias points and frequencies. The validity of the analytic approach is demonstrated at a frequency of 3.25 GHz for gallium nitride based high power devices with measurement of prototype radio frequency power amplifier designed for the impedance values obtained from the analytic expressions. The third contribution is extending the analytic approach to determine the optimum impedance values for different criteria of maximum gain, linearity and efficiency. The analytic expressions are utilized to gain an understanding of the relationship among the device performance, the elements of devices and package models and I-V characteristics. The wireless sensor networks are essential elements for the realization of the Internet of Things. Sensor nodes, which are the fundamental building blocks of these networks, have to be energy efficient and able to produce energy to reduce the maintenance cost and to prolong their lifetime. The second main aim of the thesis is designing and implementing an ultra-low power autonomous wireless sensor node that harvests the indoor light energy. The forth contribution of this thesis includes a comprehensive comparison of six different solar cell technologies under a controlled light intensity, carried out to determine the best option for indoor light energy harvesting. The power consumption of the node is reduced by selecting the appropriate hardware and implementing a wake-up receiver to reduce the active and idle mode currents. The low power consumption coupled with light energy harvesting significantly prolong the operating lifetime of the node.
9
Hossain, Mohammad Istiak. "Designing Efficient Access Control to Comply Massive-Multiservice IoT over Cellular Networks". Licentiate thesis, KTH, Radio Systems Laboratory (RS Lab), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-214974.
Abstract (sommario):
Internet of Things (IoT) has come in reality to improve our living quality. Automation is embraced in all the possible business verticals that have diverse communication needs ranged from static devices’ sporadic transmission to mobile devices’ every minute transmission. Despite, there are many technologies available today to support IoT services; cellular systems can play a vital role for IoT services, like wearables, vehicular, and industrial IoT, rollout which have either mobility or security concern. IoT services generated traffic are foreseen as a sporadic-bursty traffic. As the cellular networks are designed to serve continuous data traffic, the existing system’s access control mechanism cannot efficiently conform to the burstiness of traffic. This limits the scope of the network scalability in terms of simultaneous serving devices’ capacity. Also, this bursty pattern can extensively increase the rate of network’s congestion incident. In this thesis, we focus on these underlying challenges to support a large number of heterogeneous IoT services with existing services over the same radio network. An important question for supporting IoT services over cellular networks is how detrimental are the effects of IoT services on other services of cellular networks. This dissertation seeks to answer this with quantitative results to indicate the real constraints of existing networks. An important conclusion is that existing cellular system is incompetent to support the bursty arrival of massive IoT devices in terms of radio networks’ access control plane’s scalability. Therefore, this dissertation presents solutions to overcome the identified limitations of access control planes. To improve the performance of the access control plane, we incorporate a vertical core network controlled group management scheme that can assure the operator’s granular control over capillary gateways. Besides, this introduces a unique handover opportunity between cellular and capillary network vertices. Then, we present a simple but efficient initial access mechanism to overcome the initial access collision at the very early stage. Finally, we show the impact of access collision and retransmission on the initial access resource dimensioning.We present a practical traffic model that is realistic for the traffic scenario for mixed-traffic. Our presented results and analysis depict the trade-offs between access rate, retransmission and resource allocation over time and frequency.Our results reveal that with proposed schemes of the cellular system’s access control plane can be scalable and resilient to accommodate a large number of IoT devices without incurring extra delay or need of resources to the system.QC 20170928
10
Iscar, Vergara Jorge. "Channel and Noise Variance Estimation for Future 5G Cellular Networks". FIU Digital Commons, 2016. http://digitalcommons.fiu.edu/etd/3026.
Abstract (sommario):
Future fifth generation (5G) cellular networks have to cope with the expected ten-fold increase in mobile data traffic between 2015 and 2021. To achieve this goal, new technologies are being considered, including massive multiple-input multiple-output (MIMO) systems and millimeter-wave (mmWave) communications. Massive MIMO involves the use of large antenna array sizes at the base station, while mmWave communications employ frequencies between 30 and 300 GHz. In this thesis we study the impact of these technologies on the performance of channel estimators.
Our results show that the characteristics of the propagation channel at mmWave frequencies improve the channel estimation performance in comparison with current, low frequency-based, cellular networks. Furthermore, we demonstrate the existence of an optimal angular spread of the multipath clusters, which can be used to maximize the capacity of mmWave networks. We also propose efficient noise variance estimators, which can be employed as an input to existing channel estimators.
Libri sul tema "Future Cellular and IoT Networks":
1
Andrea, Cabibbo, Grant Richard P e Helmer-Citterich Manuela, a cura di. The Internet for cell and molecular biologists: Current applications and future potential. Wymondham: Horizon Scientific, 2002.
2
Pötsch, Thomas. Future Mobile Transport Protocols: Adaptive Congestion Control for Unpredictable Cellular Networks. Springer Vieweg, 2016.
3
Pötsch, Thomas. Future Mobile Transport Protocols: Adaptive Congestion Control for Unpredictable Cellular Networks. Springer Vieweg. in Springer Fachmedien Wiesbaden GmbH, 2016.
4
Zorumski, Charles, e Eugene Rubin. Psychiatry and Clinical Neuroscience. Oxford University Press, 2012. http://dx.doi.org/10.1093/med/9780199768769.001.1.
Abstract (sommario):
This resource examines recent developments in the field of network neuroscience and their potential impact on clinical psychiatry, including the way that psychiatrists are trained and interact with other medical specialties and mental health professionals. It discusses how research in neuroscience is revolutionizing how we think about psychiatric diagnosis and treatment, and how understanding how the neural networks that underlie these mental functions become dysfunctional holds great promise for devising innovative approaches to diagnosis and treatment. It covers recent advances in human functional neuroimaging, which is being used to characterize the activity of specific brain circuits at rest and during the performance of specific tasks, as well as advances in clinical neuroscience that are being coupled with expanding knowledge about genetics and cellular and synaptic neuroscience. Taken together, these advancements offer the hope of much more mechanism-based approaches to treatment in the future.
5
Madhu, G., Sandeep Kautish, A. Govardhan e Avinash Sharma, a cura di. Emerging Computational Approaches in Telehealth and Telemedicine: A Look at The Post-COVID-19 Landscape. BENTHAM SCIENCE PUBLISHERS, 2022. http://dx.doi.org/10.2174/97898150792721220101.
Abstract (sommario):
This book gives an overview of innovative approaches in telehealth and telemedicine. The Goal of the content is to inform readers about recent computer applications in e-health, including Internet of Things (IoT) and Internet of Medical Things (IoMT) technology. The 9 chapters will guide readers to determine the urgency to intervene in specific medical cases, and to assess risk to healthcare workers. The focus on telehealth along with telemedicine, encompasses a broader spectrum of remote healthcare services for the reader to understand. Chapters cover the following topics: - A COVID-19 care system for virus precaution, prevention, and treatment - The Internet of Things (IoT) in Telemedicine, - Artificial Intelligence for Remote Patient Monitoring systems - Machine Learning in Telemedicine - Convolutional Neural Networks for the detection and prediction of melanoma in skin lesions - COVID-19 virus contact tracing via mobile apps - IoT and Cloud convergence in healthcare - Lung cancer classification and detection using deep learning - Telemedicine in India This book will assist students, academics, and medical professionals in learning about cutting-edge telemedicine technologies. It will also inform beginner researchers in medicine about upcoming trends, problems, and future research paths in telehealth and telemedicine for infectious disease control and cancer diagnosis.
6
Sulaiman, Noor Suhana, Akhyari Nasir, Azliza Yacob, Mohd Alif Hasmani Abd Ghani, Mohd Tamizan Abu Bakar, Lukmanulhakim Ngah, Siti Norwahidayah Wahab, Mohd Shah Shafie Idris e Mohd Azizuddin Ali. FUNDAMENTAL OF NETWORKING. 2024a ed. PENERBIT UNIVERSITI MALAYSIA PERLIS, 2024. http://dx.doi.org/10.58915/bk2023.018.
Abstract (sommario):
Fundamentals of Networking is an immersive exploration of the interconnected networks that powers the modern world, revealing its role as the digital world’s foundation. Explore the fundamental principles underpinning the vast network infrastructure that empowers knowledge, fosters innovation, and connects individuals worldwide in this captivating investigation.This comprehensive book gives you the skills to successfully negotiate the dynamic networking environment, covering everything from network architecture fundamentals to data transfer complexities. Learn the inner workings of IP addressing, subnetting and routing and the fundamentals of network protocols such as TCP/IP, DNS, DHCP. With Fundamentals of Networking as your trusted companion, you’ll understand the inner workings of routers, switches and firewalls and gain valuable insights into network security and troubleshooting. Explore the world of wireless network technology, decipher the mysteries of WIFI and harness the power of emergent technologies such as IoT and cloud computing. Whether you are interested in becoming a Network Engineer or an IT professional or want to learn more about today’s networks, Fundamentals of Networking will help you discover the incredible possibilities of today’s interconnected world. Today, embark on this illuminating journey and harness the future-shaping power of networks.
Capitoli di libri sul tema "Future Cellular and IoT Networks":
1
Bahalul Haque, A. K. M., Tasfia Nausheen, Abdullah Al Mahfuj Shaan e Saydul Akbar Murad. "Security Attacks and Countermeasures in 5G Enabled Internet of Things". In 5G and Beyond, 127–49. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-3668-7_7.
Abstract (sommario):
AbstractThe use of previous generation networks like 4G was vastly used in the Internet of Things (IoT) devices. The constant need to grow and develop just so the network can fulfill the requirement of IoT devices is still going on. The exponential growth of the data services substantially challenged the security and the networks of IoT because they were run by the mobile internet requiring high bit rate, low latency, high availability, and performances within various networks. The IoT integrates several sensors and data to provide services and a communication standard. Fifth Generation Communication System (5G) enabled IoT devices to allow the seamless connectivity of billions of interconnected devices. Cellular connections have become a central part of the society that powers our daily lives. Numerous security issues have come to light because of the exponential expansion of 5G technologies and the adaptation of the slow counterpart of IoT devices. Network services without security and privacy pose a threat to the infrastructure and sometimes endanger human lives. Analyzing security threats and mitigation is a crucial and fundamental part of the IoT ecosystem. Authorization of data, confidentiality, trust, and privacy of 5G enabled IoT devices are the most challenging parts of the system. And to provide a solution to these, we need a robust system to handle cyberattacks and prevent vulnerabilities by countermeasures. This paper includes a comprehensive discussion of 5G, IoT fundamentals, the layered architecture of 5G IoT, security attacks and their mitigation, current research, and future directions for 5G enabled IoT infrastructure.
2
Kaur, Upinder, e Shalu. "Blockchain- and Deep Learning-Empowered Resource Optimization in Future Cellular Networks, Edge Computing, and IoT: Open Challenges and Current Solutions". In Blockchain for 5G-Enabled IoT, 441–74. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67490-8_17.
3
Das, Anwesha, Aninda Chowdhury e Riya Sil. "Third Industrial Revolution: 5G Wireless Systems, Internet of Things, and Beyond". In 5G and Beyond, 19–43. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-3668-7_2.
Abstract (sommario):
AbstractCommercial 5G mobile communication installations are currently ongoing. A variety of reasons, notably rising business and consumer needs as well as the advent of much more cheap equipment, are driving 5G and IoT growth. Substantial carrier investments in 5G networks, frequency, and infrastructure, as well as the adoption of international standards, are indeed assisting in driving development and increasing investor interest in IoT. Today’s modern 5G mobile cellular systems are emerging beyond current 4G technology, which will remain to fulfill diverse applications. 5G, which is expected to last a long time, may meet present needs like intelligent power applications while also forecasting future use cases like self-driving automobiles. Mobile operators would need to guarantee to ensure its added versatility simultaneously present as well as future use cases need as companies oversee the growth of technology. Cautious providers would control their expenditures to assure customer service as infrastructures migrate to 5G. The majority of 5G use case scenarios fall into three broad segments: improved mobile broadband (eMBB), enormous IoT, as well as critical communications, within each set of performance, and bandwidth, including delay needs. While 4G would remain to be utilized for so many consumers and commercial IoT scenarios, 5G offers IoT features that 4G as well as other networks do not. This would include 5G's capacity to accommodate a massive amount of fixed and portable IoT systems with variable speeds, capacity, and service level needs. As the Internet of Things develops, the adaptability of 5G would become increasingly more important for organizations wanting to satisfy the stringent needs of vital connectivity. Because of 5G's ultra-reliability as well as reduced latency, self-driving vehicles, intelligent power infrastructures, better industrial automation, and some other demanding technologies are becoming a possibility. While 5G increases Internet bandwidth, cloud services, machine intelligence, as well as cloud technologies would all assist to manage huge data quantities created by IoT. Additional 5G advancements, like low latency, and non-public networking, including the core of 5G, would eventually help realize the goals of an IoT network that is worldwide and capable of sustaining connectivity that is larger in size.
4
Sari, Alparslan, Alexios Lekidis e Ismail Butun. "Industrial Networks and IIoT: Now and Future Trends". In Industrial IoT, 3–55. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-42500-5_1.
5
Govindan, Kannan, Deepthi Chander, Bhushan G. Jagyasi, Shabbir N. Merchant e Uday B. Desai. "Cellular Networks: Past, Present and Future". In Multihop Mobile Wireless Networks, 43–50. New York: River Publishers, 2022. http://dx.doi.org/10.1201/9781003357162-5.
6
Bruno, Emmanuel, Romane Gallier e Alban Gabillon. "Enforcing Access Controls in IoT Networks". In Future Data and Security Engineering, 429–45. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-35653-8_29.
7
Gabillon, Alban, e Emmanuel Bruno. "A Security Model for IoT Networks". In Future Data and Security Engineering, 39–56. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-03192-3_4.
8
Phalaagae, Pendukeni, Adamu Murtala Zungeru, Boyce Sigweni, Joseph M. Chuma e Thabo Semong. "Future Challenges of IoT Sensor Networks". In Green Internet of Things Sensor Networks, 119–22. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-54983-1_7.
9
Song, Wei, e Weihua Zhuang. "Conclusions and Future Directions". In Interworking of Wireless LANs and Cellular Networks, 61–63. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-4379-7_5.
10
Can, Başak. "Conclusions and Future Work". In Link Adaptation for Relay-Based Cellular Networks, 137–40. New York: River Publishers, 2022. http://dx.doi.org/10.1201/9781003338765-7.
Atti di convegni sul tema "Future Cellular and IoT Networks":
1
Ballal, Kalpit Dilip, Radheshyam Singh, Lars Dittmann e Sarah Ruepp. "Experimental Evaluation of Roaming Performance of Cellular IoT Networks". In 2022 Thirteenth International Conference on Ubiquitous and Future Networks (ICUFN). IEEE, 2022. http://dx.doi.org/10.1109/icufn55119.2022.9829590.
2
Karapantelakis, Athanasios, Hongxin Liang, Keven Wang, Konstantinos Vandikas, Rafia Inam, Elena Fersman, Ignacio Mulas-Viela, Nicolas Seyvet e Vasileios Giannokostas. "DevOps for IoT Applications Using Cellular Networks and Cloud". In 2016 IEEE 4th International Conference on Future Internet of Things and Cloud (FiCloud). IEEE, 2016. http://dx.doi.org/10.1109/ficloud.2016.55.
3
Malarski, Krzysztof Mateusz, Kalpit Dilip Ballal e Sarah Ruepp. "D2D-enabled Failure-tolerance in Cellular IoT". In 2021 12th International Conference on Network of the Future (NoF). IEEE, 2021. http://dx.doi.org/10.1109/nof52522.2021.9609924.
4
Jing An, Zhichen Wang e Hongyu Wang. "A novel grouping algorithm for future cellular networks". In 2010 IEEE Youth Conference on Information, Computing and Telecommunications (YC-ICT). IEEE, 2010. http://dx.doi.org/10.1109/ycict.2010.5713114.
5
Soos, Gabor, Daniel Kozma, Ferenc Nandor Janky e Pal Varga. "IoT Device Lifecycle – A Generic Model and a Use Case for Cellular Mobile Networks". In 2018 IEEE 6th International Conference on Future Internet of Things and Cloud (FiCloud). IEEE, 2018. http://dx.doi.org/10.1109/ficloud.2018.00033.
6
Bharathi, S., e P. Durgadevi. "An Intensive Investigation of Vehicular Adhoc Network Simulators". In International Research Conference on IOT, Cloud and Data Science. Switzerland: Trans Tech Publications Ltd, 2023. http://dx.doi.org/10.4028/p-715gbh.
Abstract (sommario):
Over the last several years, vehicular ad-hoc networks (VANETs) technology booming as significant research topic. Vehicular Ad-hoc Networks (VANETs) are a component of Intelligent Transportation Systems (ITS) that are in charge of communication between moving vehicles in a specific environment. VANETs are increasingly recognised as dependable networks that vehicles engage for communication between moving or stationary vehicles (V2V), Road side unit (RSU).The idea of enabling vehicle communication over a cellular connection prompted the creation of the new protocols, equipment, also different application scenarios. Various simulators were created at the time due to the inherent difficulties of evaluating these research contributions on a real-world test platform. The introduction of autonomous cars and the proliferation of new technology have created new research challenges in VANETs (e.g., 5G and edge computing). As a result, VANET simulators must be assessed to determine whether they are still capable of analysing these novel ideas. This study delivers a comprehensive assessment of Vehicular simulators such as Veins, EstiNet, ezCar2X, Eclipse MOSAIC, VanetSim, NetSim, VENTOS,demonstrating their current condition and capabilities for evaluating innovative situations in Vehicular network research. Depends on this demonstration, we highlight the unresolved research issues need to be resolved in current and future Vehicular network simulations.
7
Xu, Liangchun, e Jason Rife. "Doppler-aided Line-of-sight Identification and Localization in Future Cellular Networks". In 31st International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS+ 2018). Institute of Navigation, 2018. http://dx.doi.org/10.33012/2018.15908.
8
Singh, Boby, Nikita Singh, Akash Kaushish e Neha Gupta. "Optimizing IOT Drones using Cellular Networks". In 2020 12th International Conference on Computational Intelligence and Communication Networks (CICN). IEEE, 2020. http://dx.doi.org/10.1109/cicn49253.2020.9242594.
9
Arslan, Serhat, Ali Abedi e Sachin Katti. "d-Cellular: Trust-Free Connectivity in Decentralized Cellular Networks". In 2023 IEEE Future Networks World Forum (FNWF). IEEE, 2023. http://dx.doi.org/10.1109/fnwf58287.2023.10520508.
10
Harsanyi, Karoly, Attila Kiss e Tamas Sziranyi. "Wormhole detection in wireless sensor networks using spanning trees". In 2018 IEEE International Conference on Future IoT Technologies (Future IoT). IEEE, 2018. http://dx.doi.org/10.1109/fiot.2018.8325596.