IEICE Transactions on Communications
Online ISSN : 1745-1345
Print ISSN : 0916-8516
Regular Section
Access Point Selection Algorithm Based on Coevolution Particle Swarm in Cell-Free Massive MIMO Systems
Hengzhong ZHIHaibin WANTuanfa QINZhengqiang WANG
Author information
JOURNAL RESTRICTED ACCESS

2023 Volume E106.B Issue 7 Pages 578-585

Details
Abstract

In this paper, we investigate the Access Point (AP) selection problem in Cell-Free Massive multiple-input multiple-output (MIMO) system. Firstly, we add a connecting coefficient to the uplink data transmission model. Then, the problem of AP selection is formulated as a discrete combinatorial optimization problem which can be dealt with by the particle swarm algorithm. However, when the number of optimization variables is large, the search efficiency of the traditional particle swarm algorithm will be significantly reduced. Then, we propose an ‘user-centric’ cooperative coevolution scheme which includes the proposed probability-based particle evolution strategy and random-sampling-based particle evaluation mechanism to deal with the search efficiency problem. Simulation results show that proposed algorithm has better performance than other existing algorithms.

Content from these authors
© 2023 The Institute of Electronics, Information and Communication Engineers
Previous article Next article
feedback
Top