Open Access

ARTICLE

Efficient Approach for Resource Allocation in WPCN Using Hybrid Optimization

by Richu Mary Thomas, Malarvizhi Subramani^*

Department of Electronics and Communication Engineering, SRMIST, Kattankulathur, 603203, India

* Corresponding Author: Malarvizhi Subramani. Email:

(This article belongs to the Special Issue: Radio Networks for new Disruptive Digital Services in Fourth Industrial Revolution)

Computers, Materials & Continua 2022, 72(1), 1275-1291. https://doi.org/10.32604/cmc.2022.024507

Received 20 October 2021; Accepted 24 December 2021; Issue published 24 February 2022

Abstract

The recent aggrandizement of radio frequency (RF) signals in wireless power transmission combined with energy harvesting methods have led to the replacement of traditional battery-powered wireless networks since the blooming RF technology provides energy renewal of wireless devices with the quality of service (QoS). In addition, it does not require any unnecessary alterations on the transmission hardware side. A hybridized global optimization technique uniting Global best and Local best (GL) based particle swarm optimization (PSO) and ant colony optimization (ACO) is proposed in this paper to optimally allocate resources in wireless powered communication networks (WPCN) through coordinated operation of communication groups, in which the wireless energy transfer and information sharing take place concomitantly by the aid of a cooperative relay positioned in between the communicating groups. The designed algorithm assists in minimizing power consumption and maximizes the weighted sum rate at the end-user side. Thus the principal target of the system is coordinated optimization of energy beamforming along with time and energy allocation to reduce the total energy consumed combined with assured information rates of the communication groups. Numerical outputs are presented to manifest the proposed system's performance to verify the analytical results via simulations.

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