Resource Allocation Schemes Based on Intelligent Optimization Algorithms for D2D Communications Underlaying Cellular Networks

The Deployment of new techniques to accommodate high data throughput, significant reliability, and quality of service (QoS) delivery prompts the use of 4G and 5G networks in several applications. In these networks, Vehicle‐to‐Everything (V2X) communications authorised by device‐to‐device cellular links (D2D) have gained momentum because of their potential to improve road safety, efficiency, and convenience. This improvement is to be provided by different types of V2X communications, including Vehicle‐to‐Pedestrian (V2P), Vehicle‐to‐Vehicle (V2V), Vehicle‐to‐Infrastructure (V2I), and Vehicle‐to‐Network (V2N) communications. However, considering several limiting factors such as mobility and increasing number of vehicles, efficiency of using wireless resources is a challenging task. Indeed, different research works on V2X radio resource allocation have been studied and evaluated with respect to several criteria. In this study, a survey of recent works but in a different way synthesising radio resource allocation methods is presented. Resource allocation classification into different categories is proposed. This classification is related to three main factors. The first takes into account the selection mode factor. It highlights the use of different approaches in each of the centralised, distributed, and mixed modes. The second one takes into account the considered performance criteria, including capacity, priority, delay etc. The last one focuses on the methods and scenarios used to evaluate a resource allocation approach.

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“…The authors in refs. [57][58][59][60][61] propose to apply GA to allocate resources in D2D, V2X, and 5G vehicular networks. In ref.…”

Section: Genetic Algorithmsmentioning

confidence: 99%

“…In ref. [57], the authors propose a power control and resource allocation scheme aiming to maximise the minimum achieved data rate by D2D communications. In this scheme, the fairness problem in single‐rate multicast communications is formulated as a maximum and minimum problem.…”

Section: Radio Resource Allocation Classification Based On the Mode R...mentioning

confidence: 99%

Resource allocation for Vehicle‐to‐Everything communications: A survey

2022

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“…To establish the performance of the proposed scheme, GA is applied for resource allocation, compared to refined PSO. Belleschi et al, 23 Li et al, 24 and Li et al 25 used heuristic algorithms to solve the resource allocation problem. Indeed, Belleschi et al 23 were interested in the resource allocation problem in Orthogonal Frequency‐Division Multiple Access (OFDMA) systems.…”

Section: Related Workmentioning

confidence: 99%

Chaotic Grey Wolf Optimization‐based resource allocation for Vehicle‐to‐Everything communications

Brahmi

Hamdi

Zarai

2021

Int J Communication

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Summary Device‐to‐device (D2D) enables direct communication between Vehicle‐to‐Everything (V2X) devices. For V2X communications, efficient power control and radio sub‐channel allocation schemes are expected to accommodate the growing demand for data traffic of the increasing number of vehicular devices. We propose to investigate the resource allocation problem for V2X networks. We categorize vehicle user equipment (VUEs) into safety and non‐safety VUEs and cellular user equipment (CUEs) into real‐time and non‐real‐time CUEs according to their communication types. The objective of the proposed model is to maximize the total throughput of the system while maintaining quality of service (QoS) for CUEs and VUEs. Chaotic Grey Wolf Optimization (CGWO) algorithm, a meta‐heuristic and evolutionary algorithm, is used to solve the resource allocation problem in V2X communications. Finally, comparisons between the proposed scheme and two other meta‐heuristic algorithms, namely, Particle Swarm Optimization (PSO) and GWO for resource allocation, are carried out. The simulation results prove the effectiveness and performance of the proposed scheme in terms of resource allocation for V2X. They also demonstrate that CGWO‐based resource allocation scheme outperforms both PSO‐based and GWO‐based resource allocation schemes in terms of total achieved throughput.

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Resource Allocation in Device‐to‐Device Communications

Foukalas¹

2020

Wiley 5G Ref

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The aim of this article is to provide details about the resource allocation in device‐to‐device (D2D) communications. We first present the four different types of mode selection highlighting the main procedures of D2D communications, where two devices can communicate directly to each other. In the sequel, we provide details on the technologies developed under the 3GPP standardization body such as mode selection, network discovery, relay selection and D2D synchronization. We focus on the different type of resource allocations solutions that can be used for the considered technologies that are part of the 3GPP D2D framework. Finally, we discuss the open challenges related to resource allocation in D2D communications with emphasis in V2X communications and mmWave. The conclusion is that we can use different type of solutions for different type of system models depending on the D2D use cases such as V2X, public safety and proximity services.

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Resource Allocation Schemes Based on Intelligent Optimization Algorithms for D2D Communications Underlaying Cellular Networks

Cited by 8 publications

References 22 publications

Resource allocation for Vehicle‐to‐Everything communications: A survey

Resource allocation for Vehicle‐to‐Everything communications: A survey

Chaotic Grey Wolf Optimization‐based resource allocation for Vehicle‐to‐Everything communications

Resource Allocation in Device‐to‐Device Communications

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