Distributed Resource Allocation in Underlay Multicast D2D Communications

Elnourani, Mohamed; Deshmukh, Siddharth; Beferull-Lozano, Baltasar

doi:10.1109/tcomm.2021.3058374

Cited by 27 publications

(11 citation statements)

References 31 publications

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“…Meanwhile, the system model in [33], which aims to analyse the coverage and the transmission delay, allows the RUs to receive the multicast video delivered from the MBS and the CHs. Without clustering, the authors in [34] have proposed a joint channel and power allocation to maximise the total sum rate of the SUs and RUs by unicasting from the MBS and multicasting from the TXs, respectively. Simply but efficiently, the work [35] only considers selecting a number of minimum caches associated with their social group to satisfy the RUs.…”

Section: B Multicast D2d Communicationsmentioning

confidence: 99%

Spectrum Sharing and Power Allocation Optimised Multihop Multipath D2D Video Delivery in Beyond 5G Networks

Tran

Bui

et al. 2022

IEEE Trans. Cogn. Commun. Netw.

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In this paper, we propose a joint spectrum and power optimisation (SPO) for multi-hop multi-path (MHMP) device-to-device (D2D) video delivery in beyond 5G (B5G/6G) networks, where the system resources such as spectrum, energy, storage, and content of mobile users (MUs), are taken into account. Particularly, the downlink spectrum resources of the sharing users (SUs) are reused by the transmitters (TXs) of D2D hops and the energy resources of the TXs are utilised for D2D communications. We further exploit the videos stored in the caching users (CUs) located more than one D2D hop far away from the requesting users (RUs) to establish MHMP D2D video delivery sessions from the CUs to the RUs. Then, the SPO problem is formulated for the optimal spectrum sharing pairs of SUs and TXs and the optimal transmission powers allocated to the TXs. Genetic algorithms (GAs) are developed to solve the SPO problem with respect to both binary variable (spectrum sharing) and real variable (power allocation). The SPO solution allows the RUs to alternately request the videos not only from the macro base station over conventional cellular networks but also from the CUs over MHMP D2D communications at the highest quality of service, i.e., maximum video delivery capacity and low power consumption. Simulation results are analysed to demonstrate the feasibility of GAs and the benefits of the proposed SPO solution in comparison with other conventional schemes.

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Section: B Multicast D2d Communicationsmentioning

confidence: 99%

Spectrum Sharing and Power Allocation Optimised Multihop Multipath D2D Video Delivery in Beyond 5G Networks

Tran

Bui

et al. 2022

IEEE Trans. Cogn. Commun. Netw.

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“…The main research on scheduling in wireless D2D networks focuses on the analysis and optimization of resource allocation [20], traffic density [21], or user fairness [22], however, there are few works that focus on the study and minimization of AoI The authors in in [23] statistically analyzed the peak AoI and the conditional success probability in a D2D communication scenario under preemptive and non-preemptive queues. Based on a stochastic geometry approach, the authors in [24] proposed a distributed scheduling policy that utilizes local observations, encapsulated in the concept of stopping sets to make scheduling decisions that minimize the network-wide average AoI.…”

Section: Related Workmentioning

confidence: 99%

Distributed Backlog-Aware D2D Communication for Heterogeneous IIoT Applications

Farag¹,

Stefanović²,

Gidlund³

2022

Preprint

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Delay and Age-of-Information (AoI) are two crucial performance metrics for emerging time-sensitive applications in Industrial Internet of Things (IIoT). In order to achieve optimal performance, studying the inherent interplay between these two parameters in non-trivial task. In this work, we consider a Device-to-Device (D2D)-based heterogeneous IIoT network that supports two types of traffic flows, namely AoI-orientated. First, we introduce a distributed backlog-aware random access protocol that allows the AoI-orientated nodes to opportunistically access the channel based on the queue occupancy of the delay-oriented node. Then, we develop an analytical framework to evaluate the average delay and the average AoI, and formulate an optimization problem to minimize the AoI under a given delay constraint. Finally, we provide numerical results to demonstrate the impact of different network parameters on the performance in terms of the average delay and the average AoI. We also give the numerical solutions of the optimal parameters that minimize the AoI subject to a delay constraint.

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“…Since the spectrum bands in MD2D are heavily reused by multiple transmitters, including the normal cellular users (CUs), the channel between these and the receivers in different clusters/groups can be modeled as a multi-user broadcast channel (MU-BC) using orthogonal multiple access (OMA) by the transmitters. Interference management in this setting has been extensively investigated both through separate or joint channel allocation and power control techniques, i.e., treating the interference at the receivers as noise (e.g., [ 2 , 3 , 4 , 5 ]). In contrast, with Non-Orthogonal Multiple Access (NOMA) [ 6 , 7 ], receivers are able to separate superposed signals distinguishing them in the power domain, by forcing some users to use Successive Interference Cancellation (SIC).…”

Section: Introductionmentioning

confidence: 99%

Non-Orthogonal Multiple Access for Unicast and Multicast D2D: Channel Assignment, Power Allocation and Energy Efficiency

Hmila

Fernández‐Veiga

Rodríguez-Pérez

et al. 2021

Sensors

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Non-orthogonal multiple access (NOMA) techniques have emerged in the past years as a solution to approximate the throughput performance of wireless communications systems to their theoretical capacity region. We consider in this paper an optimization-based model for multicast device-to-device (MD2D) communications where the channels are not orthogonal and may be (partially or fully) shared among the transmitters in each cluster. This setting leads naturally to the introduction of NOMA transmitters and receivers who use successive interference cancellation (SIC) to separate the superposed signals. To analyze the role of NOMA in MD2D, its performance impact, potential performance gains and possible shortcomings, we formulate a model that includes SIC operations in the decoders, so that higher rates can be attained when several sources transmit on the same channel(s). We also investigate the energy efficiency of the network (global and max-min) through a dynamic power control algorithm and present a centralized and a semi-distributed solution to these optimization problems. Through numerical simulations, we show that NOMA is able to improve both the sum-rate and the max-min rate of a MD2D network even from a small degree of resource sharing. Furthermore, these gains also improve the global energy efficiency on the network, but not always the max-min energy efficiency of the devices.

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Distributed Resource Allocation in Underlay Multicast D2D Communications

Cited by 27 publications

References 31 publications

Spectrum Sharing and Power Allocation Optimised Multihop Multipath D2D Video Delivery in Beyond 5G Networks

Spectrum Sharing and Power Allocation Optimised Multihop Multipath D2D Video Delivery in Beyond 5G Networks

Distributed Backlog-Aware D2D Communication for Heterogeneous IIoT Applications

Non-Orthogonal Multiple Access for Unicast and Multicast D2D: Channel Assignment, Power Allocation and Energy Efficiency

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