Academic literature on the topic '5G (téléphonie mobile)'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Contents
Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic '5G (téléphonie mobile).'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Journal articles on the topic "5G (téléphonie mobile)"
Roche, Edward M., Benjamin H. Dickens-Jr., and Walker Townes. "La prochaine génération de téléphonie mobile (5G) et ses implications (Infrastructure, Réglementation)." Netcom, no. 32-1/2 (December 16, 2018): 139–62. http://dx.doi.org/10.4000/netcom.2869.
Full textAchilleas, Philippe. "La bataille de la 5G et le droit international." Annuaire français de droit international 66, no. 1 (2020): 709–31. http://dx.doi.org/10.3406/afdi.2020.5489.
Full textDissertations / Theses on the topic "5G (téléphonie mobile)"
Zhang, Chao. "Caractérisation des performances limites des jeux non-coopératifs avec observation imparfaite : application à la téléphonie mobile 5G." Thesis, Université Paris-Saclay (ComUE), 2017. http://www.theses.fr/2017SACLS570/document.
Full textA large part of the results reported in this thesis is based on an observation which has never been made for wireless communications and power control in particular: transmit power levels and more generally transmit covariance matrices can be exploited to embed information such as coordination information and available interference-dependent feedback samples can be exploited as a communication channel. First, we show that the famous iterative water-filling algorithm does not exploit the available information sufficiently well in terms of sum-utility. Indeed, we show that global channel state information can be acquired from the sole knowledge of an SINR-type feedback. A natural question then arises. Is it possible to design a distributed power control algorithm which exploits as well as possible the available information? To answer this question, we derive the characterization of the utility region for the considered problem and show how to exploit this characterization not only to measure globally efficiency but also to obtain globally efficient one-shot power control functions. Motivated by the success of our approach for single-band and multi-band interference networks, we asked ourselves whether it could be exploited for MIMO networks. We have identified at least one very relevant scenario. Indeed, we show that opportunistic interference alignment can be implemented by only assuming interference-plus-noise covariance feedback at the secondary transmitter. Then, in the last chapter, we generalize the problem of quantization, the motivation for this being given by some observations made in the previous chapters. First, we assume that the quantizer and de-quantizer are designed to maximize a general utility function instead of the conventional distortion function. Second, we assume that the quantizer and de-quantizer may have different utility functions. This raises non-trivial technical problems, our claim is to make a very first step into solving them
Mohammadi, Alireza. "Cloud Native MANO for Next Generation Mobile Networks." Electronic Thesis or Diss., Sorbonne université, 2023. https://accesdistant.sorbonne-universite.fr/login?url=https://theses-intra.sorbonne-universite.fr/2023SORUS633.pdf.
Full textThis thesis crystallizes significant contributions pivoted around integral concepts such as Consistent DevOps and Declarative Automation to realize the envisioned cloud-native MANO. These principles are applied in the context of multi-x systems, where ‘x’ represents various dimensions such as RAN vendor, OS, and cloud, addressing the level of heterogeneity and diversity in the modern networks. Interpreting multi-x as a cloud-native extension to the Open RAN ecosystem, the thesis is conceived and validated through a concrete proof-of-concept prototype for multi-vendor 5G networks. This addresses the complexities of next generation private and public cloud-native MANO systems by incorporating advanced technologies such as eBPF and recent developments in the cloud-native domain, including Kubernetes
Oussakel, Imane. "4G/5G cellular networks metrology and management." Thesis, Toulouse 3, 2020. http://www.theses.fr/2020TOU30261.
Full textThe proliferation of sophisticated applications and services comes with diverse performance requirements as well as an exponential traffic growth for both upload and download. The cellular networks such as 4G and 5G are advocated to support this diverse and huge amount of data. This thesis work targets the enforcement of advanced cellular network supervision and management techniques taking the traffic explosion and diversity as two main challenges in these networks. The first contribution tackles the intelligence integration in cellular networks through the estimation of users uplink instantaneous throughput at small time granularities. A real time 4G testbed is deployed for such aim with an exhaustive metrics benchmark. Accurate estimations are achieved.The second contribution enforces the real time 5G slicing from radio resources perspective in a multi-cell system. For that, two exact optimization models are proposed. Due to their high convergence time, heuristics are developed and evaluated with the optimal models. Results are promising, as two heuristics are highly enforcing the real time RAN slicing
Bazin, Alexis. "Massive MIMO for 5G Scenarios with OFDM and FBMC/OQAM Waveforms." Thesis, Rennes, INSA, 2018. http://www.theses.fr/2018ISAR0019/document.
Full textESUME DE LA THESE EN ANGLAIS With the increase of the global data tmffic, the multiplication of co1mected devices and the diversification of the communication types, the fifth generation of cellular networks (5G) has to overcome a se1ies of challenges. In this context, massive MlMO systems hold a wide range of benefits by using a large number of antennas combined with appropriate signal processing techniques. Additionally, the use of the FBMC/OQAM modulation instead of the classical OFDM modulation may enhance the performance of the systems in cer1ain situations. Firstly, this thesis focuses on vehicular scenarios. In par1icular, massive MIMO systems are proposed to overcome the interference due to the Doppler effect for the uplink. We thus analytically highlight that increasing the number of receive antermas induces a drastic reduction of the impact of the Doppler effect. Moreover, the perfonnance of the OFDM and the FBMC/OQAM modulations are compared in this context for Non-Line-Of-Sight (NLOS) and Line-Of-Sight (LOS) environments. The second scenario investigated in this thesis considers communications in wide underse1ved areas. In this context, massive MIMO systems allow to create a long-range wireless back.haul link between two base stations. Thereby, the cost of deployment of the cellular networks is reduced. In this thesis r a new massive MLMO precoding technique is proposed in order to use the same fequency band for the backhaul link and the access links. Moreover, the impact of a desynchronization between the back haul link and the access links is studied and the use of the FBMC/OQAM modulation for the backhaul link is discussed
Arrano, Scharager Hernan. "Full-duplex for cellular networks : a stochastic geometry approach." Electronic Thesis or Diss., Institut polytechnique de Paris, 2020. http://www.theses.fr/2020IPPAT001.
Full textFull-duplex (FD) is a principle in which a transceiver can receive and transmit on the same time-frequency radio resource. The principle was long held as impractical due to the high self-interference that arises when simultaneously transmitting and receiving in the same resource block. When assuming perfect self-interference cancellation, FD can potentially double the spectral efficiency (SE) of a given point-to-point communication. In practice though, it is not possible to achieve the aforementioned characteristic. Moreover, under a cellular network context, not only the self-interference limits the performance, since additional co-channel interference is created by base stations (BSs) and users equipment (UEs). However, even with the higher interference dowlinks (DLs) still obtain higher SE performances, whereas uplinks (ULs) are generally critically degraded, when compared to half-duplex (HD). We focus our work in the study of alternatives that can help improve the impaired ULs in FD networks, while still trying to profit from the gains experienced by DLs.In this regard, we use stochastic geometry along the thesis as a means to characterize key performance indicators of cellular networks, such as: coverage probability, average SE and data rates. The thesis is divided into three major studies. Firstly, we propose a duplex-switching policy which enables BSs to operate in FD- or HD- depending on the UL and DL conditions. Secondly, we investigate the performance of hybrid HD/FD networks under a millimeter wave context. Finally, we propose a novel algorithm based on nonorthogonal multiple-access (NOMA) and successive interference cancellation (SIC), which allows BSs to coordinate on their respective transmission schemes to reduce the BS-to-BS interference. We demonstrate that the models presented in the thesis allow to balance the gains of one link over the other; reducing the UL degradation, while maintaining DL gains. In addition, we show that scenarios in which equipment is able to perform beamforming are ideal for FD deployments, since they directly reduce the cochannel interference
Nguyen, Thanh-Son-Lam. "Wireless Resource Allocation in 5G-NR V2V Communications." Electronic Thesis or Diss., université Paris-Saclay, 2023. http://www.theses.fr/2023UPASG052.
Full textThis doctoral dissertation explores the enhancement of wireless resource allocation in Vehicle-to-Everything (V2X) communications, as specified by the 3GPP Release 16 standard. The specific area of our research is the NR-V2X Sidelink communication, also known as the New Radio-Vehicles to Vehicles (NR-V2V) communication. Our goal is to formulate a novel optimization protocol that not only guarantees high-quality services (QoS) but also outperforms existing methodologies in NR-V2V communication.Initially, we introduce Adaptive Physical Configuration (APC), a search-based algorithm designed to identify the optimal physical layer configuration within a set of environmental factors, specifically tailored for a broadcast communication scheme. Following this, we evolve APC into a Radio Aware variant (RA-APC), broadening its scope by incorporating unicast communication and establishing a more flexible structure for PHY resources. In the final phase, we further refine RA-APC by integrating a machine learning algorithm, specifically a decision tree. This integration uncovers patterns within the input factors, thereby augmenting both the accuracy and efficiency of the allocation optimization process
Mishra, Debashisha. "Exploiting the synergies of unmanned aerial vehicles (UAVs) and 5G network." Electronic Thesis or Diss., Université de Lorraine, 2023. http://www.theses.fr/2023LORR0058.
Full textAs an expanding subject of aerial robotics, Unmanned Aerial Vehicles (UAVs) have received substantial research attention within the wireless networking research community. As soon as national legislations enable UAVs to fly autonomously, we will witness swarms of UAV filling the skies of our smart cities to complete diverse missions: package delivery, infrastructure monitoring, event videography, surveillance, tracking, etc. Fifth generation (5G) and beyond cellular networks can improve UAV communications in a variety of ways and thus benefit the UAV ecosystem. There is a wide variety of wireless applications and use cases that can benefit from the capabilities of these smart devices, including the UAV's inherent characteristics of agile mobility in three-dimensional space, autonomous operation, and intelligent placement. The broad goal of this thesis is to provide a comprehensive analysis of the synergies that may be realized when combining 5G and beyond cellular networks with UAV technology. This thesis presents four types of UAV and cellular ecosystem integration models. "UAV-assisted cellular paradigm" refers to communication scenarios in which UAVs are used as flying (or aerial) base stations or as relays to augment current terrestrial cellular connectivity or to mitigate disaster situations. The "cellular-assisted UAV paradigm" foresees the integration of UAVs into the current cellular network as a new aerial user (flying UE) to serve a wide variety of applications and use cases. The "UAV-to-UAV paradigm" stresses the collective strength of a fleet of UAVs as a swarm and communication amongst UAVs inside the swarm. The "hybrid non-terrestrial paradigm" encompasses satellite and aerial networks, therefore examining the whole spectrum of communication links from the ground to the air to the space in the form of an integrated space-air-ground communication network. Initially, this thesis focuses on aerial base stations, which have gained great academic attention in order to provide flexible, on-demand communication services to ground users. On this occasion, we build and construct a proof-of-concept prototype platform that delineates the design components required to implement such platforms in the real world, and we then explain the necessity for optimal placement of aerial base stations for increasing communication services. To support a heterogeneous class of 5G services from various vertical industries (referred to as tenants of 5G network operators), we propose a slicing-aware aerial base station framework in which ground users with differentiated traffic requirements in terms of data rate, latency, and massive deployment are supported through intelligent resource provisioning. Second, we describe aerial users who are supported by current cellular infrastructure and examine difficulties such as coexistence of aerial users and ground users, handovers, and communication-aware trajectory optimization. The use of a swarm of UAVs is considerably more cost-effective as compared to a single UAV conducting a mission when considering realistic mission goals. A swarm of UAVs opens up new opportunities for new services and applications since the UAVs may independently coordinate their operations and work together to complete a given task. Due to the spatio-temporal dynamics of swarm topology, dependable network development with seamless communication amongst UAVs is essential for any operation to be successful. As part of this thesis, we offer centralized and decentralized network models for UAV-to-UAV (U2U) communication inside swarm and conduct a full investigation of sidelink-assisted U2U communication with performance assessment
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
Lahad, Bachir. "Joint Uplink/Downlink Radio Resource Allocation in 5G HetNets." Electronic Thesis or Diss., université Paris-Saclay, 2020. http://www.theses.fr/2020UPASG057.
Full textThe rapid growth in wireless data traffic and bandwidth intensive services (voice over IP, video streaming, livestreaming, etc.) necessitates finding viable solutions to improve service quality and maximize thenetwork performance. To accommodate these bandwidth intensive applications, heterogeneous cellular networks (HetNets) were introduced in 3GPP as one of the main features to meet these advanced requirements. Yet, because of the difference in uplink (UL) and downlink (DL) traffic loads expected in the next HetNetsgeneration, it becomes essential to dynamically adjust UL/DL resources. To support this newapproach, dynamic time-division duplexing (TDD) has been proposed. Nevertheless, the importance of UL arises along with the evolution of social networking and cloudsolutions. Therefore, it is of great interest to introduce novel techniques that mitigate ULinterferences, improve UL and DL throughputs and allow as well, a better use of radio resources byproviding adequate load balancing among UL and DL. Such an additional feature is the decoupledUL/DL access.In our work, we first develop a TDD model in HetNets. Under this model, we derive analytical expressions for the distribution of the interferer location considering all possible interference scenarios that could occur in TDD-based networks, while taking into account the harmful impact of interference.Based on the latter result, we derive the distribution and moment generating function (MGF) of the uplink and downlinkinter-cell interference considering a network consisting of one macro cell and one small cell. We build on the derivedexpressions to analyze the average capacity of the reference cell in both uplink and downlink transmissions.Second, we develop a joint TDD/decoupling statistical model to highlight the benefits thatthe decoupling access mode can bring to a HetNet TDD based system, in terms of UL and DL spectral efficiencies and throughputs. Introducing the decoupling mode necessitates a thoroughcomparison study with the conventional coupled UL/DL access mode. Therefore, we derive the statistics of the interference signal and the signal of interest of both modes and then analyze their impact on the system performance.This work was extended to include multiple small cells deployment, where more insight into the benefits of decoupling mode is provided in terms of UL and DL decoupling gains. Further to the implementation of the developed model, it is shown that the decoupling case brings greater benefits in the uplink and maintains the same improvement in the downlink for various offset values and thus, improves the overall system performance when being combined with a dynamic TDD technology. It is further shown that our modeled network can be optimized by adopting the optimal combination of both the small cell offset factor and the distance between small cells.On the other hand, evaluating the benefits of an adaptive TDD and decoupling in a HetNet based system according to time-variant traffic loads, necessitates findinga system level simulator where we can present the motivation and accurately assess the role of both decoupling and dynamic TDD techniques in the UL/DL optimization problem. From the applied simulation scenarios, it is observed that the proposed adaptive algorithm (dynamic TDD with decoupling policies) yields significant performance improvements in UL and DL throughput compared to a number of conventional schemes, mainly in dense HetNet deployment and in highly loaded systems
Chagdali, Abdellatif. "Multi-connectivity and resource allocation for slices in 5G networks." Electronic Thesis or Diss., université Paris-Saclay, 2022. http://www.theses.fr/2022UPAST052.
Full textFuture mobile networks envision unprecedented innovation opportunities and disruptive use cases. As a matter of fact, the 5G and beyond networks' pledge to deliver mission-critical applications mandates a versatile, scalable, efficient, and cost-effective network capable of accommodating its resource allocation to meet the services' heterogeneous requirements. To face these challenges, network slicing has emerged as one of the fundamental concepts proposed to raise the 5G mobile networks' efficiency and provide the required plasticity. The idea is to provide resources for different vertical industries by building multiple end-to-end logical networks over a shared virtualized infrastructure. Each network slice is customized to deliver a specific service and adapts its architecture and radio access technologies.Precisely, applications such as industrial automation or vehicular communications pose stringent latency and reliability requirements on cellular networks. Given that the current mobile network cannot meet these requirements, ultra-reliable low-latency communications (URLLC) embodies a vital research topic that has gathered substantial momentum from academia and industrial alliances. To reach URLLC requirements, employing multi-connectivity (MC), i.e., exploiting multiple radio links as communication paths at once, is a promising approach.Therefore, the objective of the present manuscript is to investigate dynamic scheduling techniques, exploiting redundant coverage of users, guaranteed in numerous 5G radio access network scenarios. We first review the evolution of mobile networks and discuss various considerations for network slicing architecture and its impact on resource allocation design. Then, we use tools from queuing theory to model a system in which a set of URLLC users are connected simultaneously to two base stations having the same bandwidth; we refer to this scenario as the homogenous case. We introduce suitable scheduling policies and evaluate their respective performances by assessing their reliability. Next, we extend the homogenous case's results to a more general setting where the physical interfaces manage different bandwidths, referred to as the heterogeneous case. Finally, we merge the above elements to validate the choice of resource allocation schemes considering the deployed architecture
Books on the topic "5G (téléphonie mobile)"
5G Radio Access Networks: Centralized RAN, Cloud-RAN and Virtualization of Small Cells. Taylor & Francis Group, 2017.
Find full textArslan, Hüseyin, and Ertuğrul Başar. Flexible and Cognitive Radio Access Technologies for 5G and Beyond. Institution of Engineering & Technology, 2020.
Find full textFlexible and Cognitive Radio Access Technologies for 5G and Beyond. Institution of Engineering & Technology, 2020.
Find full textRamzan, Naeem, and Muhammad Zeeshan Shakir. AI for Emerging Verticals: Human-Robot Computing, Sensing and Networking. Institution of Engineering & Technology, 2021.
Find full textAI for Emerging Verticals: Human-Robot Computing, Sensing and Networking. Institution of Engineering & Technology, 2020.
Find full text