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.
This work is supported by the National Key R &D Program of China under Grant 2020YFB1807204.
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Li, Y., Wang, C., Deng, D., Pang, M., Wang, W., Xu, L. (2023). An Elite Genetic Algorithm for Power Allocation in Cell-Free Massive MIMO Systems. In: Gao, F., Wu, J., Li, Y., Gao, H. (eds) Communications and Networking. ChinaCom 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 500. Springer, Cham. https://doi.org/10.1007/978-3-031-34790-0_22
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DOI: https://doi.org/10.1007/978-3-031-34790-0_22
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