Research Article
Power Allocation for Sum Rate Maximization of Uplink Massive MIMO System with Maximum Ratio Combining
@INPROCEEDINGS{10.1007/978-3-031-04409-0_4, author={Fuyuan Liu and Xiangbin Yu and Hui Wang and MingLu Li and Jiawei Bai}, title={Power Allocation for Sum Rate Maximization of Uplink Massive MIMO System with Maximum Ratio Combining}, proceedings={Machine Learning and Intelligent Communications. 6th EAI International Conference, MLICOM 2021, Virtual Event, November 2021, Proceedings}, proceedings_a={MLICOM}, year={2022}, month={5}, keywords={Massive MIMO Power allocation Sum rate Imperfect CSI Maximum ratio combining}, doi={10.1007/978-3-031-04409-0_4} }- Fuyuan Liu
Xiangbin Yu
Hui Wang
MingLu Li
Jiawei Bai
Year: 2022
Power Allocation for Sum Rate Maximization of Uplink Massive MIMO System with Maximum Ratio Combining
MLICOM
Springer
DOI: 10.1007/978-3-031-04409-0_4
Abstract
This paper investigates the sum rate optimization of uplink massive multiple-input multiple-output (MIMO) system with imperfect channel state information (CSI) and maximum ratio combining (MRC) under the constraints of maximum power and minimum rate, and power allocation (PA) schemes are developed to improve the rate. With the help of concave-convex procedure (CCCP) method, a near-optimal PA scheme is proposed to transform the no-concave maximization problem into a concave one. Considering that both small-scale and large-scale fading information are required in near-optimal PA scheme, which will result in high complexity, a suboptimal PA scheme under the case of large number of receive antennas is presented, which only needs large-scale fading information without real-time estimation and frequent feedback. Moreover, it has the rate close to that of near-optimal scheme but with lower complexity. Simulation results show that the sum rate obtained by the near-optimal PA scheme can match that offered by the benchmark scheme well, and the suboptimal scheme can obtain the rate close to that of near-optimal scheme, especially for large number of receive antennas, which verifies the effectiveness of the proposed schemes.
