Statistical-CSI-Based Antenna Selection and Precoding in Uplink MIMO

Conference: WSA & SCC 2023 - 26th International ITG Workshop on Smart Antennas and 13th Conference on Systems, Communications, and Coding
02/27/2023 at Braunschweig, Germany

Proceedings: ITG-Fb. 308: WSA & SCC 2023

Pages: 6Language: englishTyp: PDF

Authors:
Ouyang, Chongjun; Yang, Hongwen (School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, China)
Bereyhi, Ali; Asaad, Saba; Mueller, Ralf R. (Institute for Digital Communications (IDC), Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany)

Abstract:
Classical antenna selection schemes require instantaneous channel state information (CSI). This leads to high signaling overhead in the system. This work proposes a novel joint receive antenna selection and precoding scheme for multiuser multiple-input multiple-output uplink transmission that relies only on the long-term statistics of the CSI. The proposed scheme designs the switching network and the uplink precoders, such that the expected throughput of the system in the long term is maximized. Invoking results from the random matrix theory, we derive a closed-form expression for the expected throughput of the system. We then develop a tractable iterative algorithm to tackle the throughput maximization problem, capitalizing on the alternating optimization and majorization-maximization (MM) techniques. Numerical results substantiate the efficiency of the proposed approach and its superior performance as compared with the baseline.