Title: Optimised joint resource allocation for NOMA MIMO-based wireless powered sensor networks

Authors: Qiang Wang; Hai-Lin Liu

Addresses: School of Physics and Telecommunication Engineering, Yulin Normal University, Yulin, Guangxi, China ' School of Applied Mathematics, Guangdong University of Technology, Guangzhou, Guangdong, China

Abstract: Wireless powered sensor network has captured a lot of attentions due to its higher lifetime. In this paper, we investigate the resource allocation in the non-orthogonal multiple access (NOMA) multiple-input multiple-output (MIMO)-based wireless powered sensor networks in terms of the wireless energy transfer time allocated and power allocation, and the joint resource allocation is formulated as a nonconvex optimisation problem. To reduce the complexity, the original optimisation problem is decomposed into the time allocation subproblem and power allocation subproblem. Specifically, the particle swarm optimisation (PSO) is adopted to solve the time allocation subproblem. TheDC(difference of two convex functions) programming method is adopted to solve the power allocation subproblem, and the objective function is approximated as a convex function by the first order Taylor expansion. Simulation results illustrate that the proposed joint resource allocation scheme can significantly improve the system throughput.

Keywords: WSN; wireless sensor networks; resource allocation; NOMA; non-orthogonal multiple access; optimisation algorithm.

DOI: 10.1504/IJSNET.2021.112884

International Journal of Sensor Networks, 2021 Vol.35 No.1, pp.1 - 9

Received: 09 Mar 2020
Accepted: 09 May 2020

Published online: 08 Feb 2021 *

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