Power Allocation for D2D Communications Using Max-Min Message-Passing Algorithm

Article

Kazemi Rashed, S, Asvadi, R., Rajabi, S., Ghorashi, S. A. and Martini, M. G. 2020. Power Allocation for D2D Communications Using Max-Min Message-Passing Algorithm. IEEE Transactions on Vehicular Technology. 69 (8), pp. 8443-8458. https://doi.org/10.1109/TVT.2020.2995534
AuthorsKazemi Rashed, S, Asvadi, R., Rajabi, S., Ghorashi, S. A. and Martini, M. G.
Abstract

The approach of factor-graphs (FGs) is applied in the context of power control and user pairing in Device-to-Device (D2D) communications as an effective underlay concept in wireless cellular networks. D2D communications can increase the spectral efficiency of wireless cellular networks by establishing a direct link between devices with limited help from the evolved node base stations (eNBs). A well-designed user pairing and power allocation scheme with low complexity can remarkably improve the system’s performance. In this paper, a simple and distributed FG based approach is utilized for power control and user pairing implementation in an underlay cellular network with D2D communications. A max-min criterion is proposed to maximize the minimum rate of all active users in the network, including the cellular and multiple D2D co-channel links in the uplink direction. An associated message-passing (MP) algorithm is presented to distributedly solve the resultant NP-hard maximization problem, with a guaranteed convergence compared to game-theoretic and Q-learning based methods. The complexity and convergence of the proposed method are analyzed and numerical results confirm that the proposed scheme outperforms alternative algorithms in terms of complexity, while keeping the sum-rate of users nearly the same as centralized counterpart methods.

KeywordsDevice-to-device (D2D) communications; factorgraph (FG); Max-Min; message-passing
JournalIEEE Transactions on Vehicular Technology
Journal citation69 (8), pp. 8443-8458
ISSN0018-9545
Year2020
PublisherIEEE
Accepted author manuscript
License
File Access Level
Anyone
Digital Object Identifier (DOI)https://doi.org/10.1109/TVT.2020.2995534
Web address (URL)http://dx.doi.org/10.1109/TVT.2020.2995534
Publication dates
Online18 May 2020
Publication process dates
Accepted11 May 2020
Deposited29 May 2020
FunderEngineering and Physical Sciences Research Council (EPSRC)
Copyright holder© 2020 IEEE
Copyright informationPersonal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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