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.
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Acknowledgments
This work was supported by Natural Science Foundation of Jiangsu Province in China (BK20181289), Open Research Fund of Nanjing University of Aeronautics and Astronautics (kfjj20200414), Open Research Fund Key Laboratory of Wireless Sensor Network and Communication of Chinese Academy of Sciences (2017006), and Open Research Fund of State Key Laboratory of Millimeter Waves of Southeast University (K202215).
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Liu, F., Yu, X., Wang, H., Li, M., Bai, J. (2022). Power Allocation for Sum Rate Maximization of Uplink Massive MIMO System with Maximum Ratio Combining. In: Jiang, X. (eds) Machine Learning and Intelligent Communications. MLICOM 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 438. Springer, Cham. https://doi.org/10.1007/978-3-031-04409-0_4
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DOI: https://doi.org/10.1007/978-3-031-04409-0_4
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