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Multiantenna Clustering Collaboration for WPCNs Based on Nonlinear EH

Authors :
Lina Yuan
Huajun Chen
Anran Zhou
Rong Wang
Xianli Wen
Source :
International Journal of Distributed Sensor Networks, Vol 2023 (2023)
Publication Year :
2023
Publisher :
Hindawi - SAGE Publishing, 2023.

Abstract

This article considers a wireless-powered communication network (WPCN) composed of a multiantenna hybrid access point (HAP) based on nonlinear energy harvesting (EH). To improve some distant WDs’ throughput performance, one of them is allowed to be selected as a cluster head (CH) to help transfer information from other cluster members (CMs). Nevertheless, the proposed clustering collaboration’s performance is essentially restricted by the CH’s energy-intensive consumption (EC), which requires to transfer every WDs’ information, covering its own. In order to figure out the question, the HAP’s energy beamforming (EB) capability with multiple antennas is utilized that can concentrate greater transmission power into the CH to equilibrate its EC to assist other WDs. To be specific, each WD’s throughput performance is firstly derived under the proposed approach. A high-efficiency optimization algorithm for addressing cooperative optimization problem is put forward. In addition, the simulations are carried out in the actual network environment, and the results demonstrate that our proposed clustering collaboration with multiple antennas can validly enhance the WPCN’s throughput fairness based on nonlinear EH.

Details

Language :
English
ISSN :
15501477
Volume :
2023
Database :
Directory of Open Access Journals
Journal :
International Journal of Distributed Sensor Networks
Publication Type :
Academic Journal
Accession number :
edsdoj.8fc020c1c5bf494987effcba7a8d78d7
Document Type :
article
Full Text :
https://doi.org/10.1155/2023/9948725