Title: Spectrum allocation and power control for D2D communication underlay 5G cellular networks

Authors: Mohamed Kamel Benbraika; Salim Bitam

Addresses: LESIA Laboratory, Department of Computer Science, University of Biskra, P.O. Box 145 R.P. 07000 Biskra, Algeria ' LESIA Laboratory, Department of Computer Science, University of Biskra, P.O. Box 145 R.P. 07000 Biskra, Algeria

Abstract: The fifth-generation (5G) of cellular networks promises to assure low latency and high data rate. Device-to-device (D2D) communication technology can achieve those goals since it improves throughput and expands cell radius. However, the limited spectrum and battery life of devices are considered as a handicap for efficient D2D communication. The joint spectrum allocation and power control problem is a nonlinear and controlled by many nonlinear constraints. To deal with this issue, we propose in this paper, a new bio-inspired approach called enhanced bee life algorithm for D2D communications (E-BLAD2D). This proposal generates an initial population according to the simulated annealing algorithm, then, an enhanced bee life algorithm is suggested to improve the expected solution. After a set of simulations, the results obtained showed that E-BLAD2D surpasses genetic algorithm and particle swarm optimisation in terms of network throughput and the convergence speed to reach the optimal solution with a reduced computational complexity.

Keywords: fifth-generation cellular networks; simulated annealing; bee life algorithm; BLA; device-to-device communication; genetic algorithm; particle swarm optimisation; PSO.

DOI: 10.1504/IJCNDS.2021.118110

International Journal of Communication Networks and Distributed Systems, 2021 Vol.27 No.3, pp.299 - 322

Received: 28 Aug 2020
Accepted: 08 Feb 2021
Published online: 12 Oct 2021 *

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