Adaptive mesh size (AMS) algorithm for energy efficiency maximisation in underlay D2D communication. Issue 8 (1st May 2020)

• Record Type: Journal Article
• Authors: Saad, Waleed; Refky, Hajar; Shokair, Mona
• Is Part Of: IET communications. Volume 14:Issue 8(2020)
• Page Start: 1311
• Page End: 1317
• Publication Date: 2020-05-01
• Subjects: cellular radio -- stochastic processes -- probability -- radio spectrum management -- telecommunication power management -- optimisation -- energy conservation; adaptive mesh size algorithm -- AMS -- energy efficiency maximisation -- underlay D2D communication -- device‐to‐device communication -- urgent necessity -- fifth‐generation wireless networks -- power allocation problem -- cellular system underlaid -- DUs -- random distribution -- cellular users -- CUs -- homogeneous Poisson point process -- stochastic geometry -- successful transmission probabilities -- optimal power values -- EE optimisation problem; Telecommunication systems -- Periodicals; Speech processing systems -- Periodicals; 621.38205
• DOI: 10.1049/iet-com.2019.1014
• Languages: English
• ISSNs: 1751-8628

Abstract

Abstract : The need to maximise energy efficiency (EE) for device‐to‐device (D2D) communication has become an urgent necessity for the fifth‐generation wireless networks. In this study, the power allocation problem is considered for the cellular system underlaid with D2D users (DUs) to maximise the EE for the whole network. Firstly, the random distribution of DUs and cellular users (CUs) are described by utilising the homogeneous Poisson point process based on stochastic geometry. Secondly, successful transmission probabilities are deduced. Finally, the optimisation problem for maximising EE is formulated to determine the optimal power values for both D2D and CUs. An adaptive mesh size algorithm is suggested to solve the non‐convexity of the EE optimisation problem. Simulation results prove that the suggested technique has the ability to accomplish the near‐optimal EE. Furthermore, it has superior performance when compared with the related algorithms.