Research Article
An Elite Genetic Algorithm for Power Allocation in Cell-Free Massive MIMO Systems
@INPROCEEDINGS{10.1007/978-3-031-34790-0_22, author={Yehao Li and Chaowei Wang and Danhao Deng and Mingliang Pang and Weidong Wang and Lexi Xu}, title={An Elite Genetic Algorithm for Power Allocation in Cell-Free Massive MIMO Systems}, proceedings={Communications and Networking. 17th EAI International Conference, Chinacom 2022, Virtual Event, November 19-20, 2022, Proceedings}, proceedings_a={CHINACOM}, year={2023}, month={6}, keywords={Massive MIMO Cell-free User-centered Power allocation}, doi={10.1007/978-3-031-34790-0_22} }- Yehao Li
Chaowei Wang
Danhao Deng
Mingliang Pang
Weidong Wang
Lexi Xu
Year: 2023
An Elite Genetic Algorithm for Power Allocation in Cell-Free Massive MIMO Systems
CHINACOM
Springer
DOI: 10.1007/978-3-031-34790-0_22
Abstract
Network-assisted full-duplex (NAFD) cell-free massive MIMO can greatly improve the spectral efficiency and reduce the unmet system capacity ratio (USCR) by simultaneous downlink and uplink transmission with massive access points (APs). As most existing works focus on the system throughput maximization while ignoring the user requirements. In this paper, we jointly study the dynamic power allocation under the constraint of USCR. An elite genetic algorithm for power allocation is proposed to solve the above problems. Simulation results show that the proposed algorithm significantly reduces the USCR of the cell-free massive MIMO while sufficiently meeting the user requirements.
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