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Access Point Selection Algorithm Based on Coevolution Particle Swarm in Cell-Free Massive MIMO Systems

Hengzhong ZHI, Haibin WAN, Tuanfa QIN, Zhengqiang WANG

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Summary :

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.

Publication
IEICE TRANSACTIONS on Communications Vol.E106-B No.7 pp.578-585
Publication Date
2023/07/01
Publicized
2023/01/13
Online ISSN
1745-1345
DOI
10.1587/transcom.2022EBP3125
Type of Manuscript
PAPER
Category
Antennas and Propagation

Authors

Hengzhong ZHI
  Guangxi University,the Guangxi Key Laboratory of Multimedia Communications and Network Technology
Haibin WAN
  Guangxi University,the Guangxi Key Laboratory of Multimedia Communications and Network Technology
Tuanfa QIN
  Guangxi University,the Guangxi Key Laboratory of Multimedia Communications and Network Technology
Zhengqiang WANG
  Chongqing University of Posts and Telecommunication

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