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Low-Complexity Beamforming Design for a Cooperative Reconfigurable Intelligent Surface-Aided Cell-Free Network
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Document Title
Low-Complexity Beamforming Design for a Cooperative Reconfigurable Intelligent Surface-Aided Cell-Free Network
Author
Siddiqi M.Z. Munir A. Mohsan S.A.H. Shah S. Chaudhary S. Sangwongngam P. Wuttisittikulkij L.
Affiliations
Wireless Communication Ecosystem Research Unit Department of Electrical Engineering Chulalongkorn University Bangkok 10330 Thailand; Optical Communications Laboratory Ocean College Zhejiang University Zhoushan 316021 China; Spectroscopic and Sensing Devices Research Group National Electronics and Computer Technology Center Bangkok 12120 Thailand
Type
Article
Source Title
Sensors
ISSN
14248220
Year
2023
Volume
23
Issue
2
Open Access
All Open Access Gold Green
Publisher
MDPI
DOI
10.3390/s23020903
Abstract
Cell-free (CF) networks are proposed to suppress the interference among collocated cells by deploying several BSs without cell boundaries. Nevertheless as installing several base stations (BSs) may require high power consumption cooperative CF networks integrated with a reconfigurable intelligent surface (RIS)/metasurface can avoid this problem. In such cooperative RIS-aided MIMO networks efficient beamforming schemes are essential to boost their spectral and energy efficiency. However most of the existing available beamforming schemes to maximize spectral and energy efficiency are complex and entail high complexity due to the matrix inversions. To this end in this work we present a computationally efficient stochastic optimization-based particle swarm optimization (PSO) algorithm to amplify the spectral efficiency of the cooperative RIS-aided CF MIMO system. In the proposed PSO algorithm several swarms are generated while the direction of each swarm is tuned in each iteration based on the sum-rate performance to obtain the best solution. Our simulation results show that our proposed scheme can approximate the performance of the existing solutions for both the performance metrics i.e. spectral and energy efficiency at a very low complexity. ? 2023 by the authors.
Industrial Classification
Knowledge Taxonomy Level 1
Knowledge Taxonomy Level 2
Knowledge Taxonomy Level 3
License
CC BY
Rights
Authors
Publication Source
WOS