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

Ouyang C, Bereyhi A, Asaad S, Müller R, Yang H (2023)


Publication Type: Conference contribution

Publication year: 2023

Publisher: VDE Verlag GmbH

Pages Range: 96-101

Conference Proceedings Title: WSA and SCC 2023 - 26th International ITG Workshop on Smart Antennas and 13th Conference on Systems, Communications, and Coding

Event location: Braunschweig, DEU

ISBN: 9783800760510

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.

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How to cite

APA:

Ouyang, C., Bereyhi, A., Asaad, S., Müller, R., & Yang, H. (2023). Statistical-CSI-Based Antenna Selection and Precoding in Uplink MIMO. In WSA and SCC 2023 - 26th International ITG Workshop on Smart Antennas and 13th Conference on Systems, Communications, and Coding (pp. 96-101). Braunschweig, DEU: VDE Verlag GmbH.

MLA:

Ouyang, Chongjun, et al. "Statistical-CSI-Based Antenna Selection and Precoding in Uplink MIMO." Proceedings of the 26th International ITG Workshop on Smart Antennas, WSA 2023 and 13th Conference on Systems, Communications, and Coding, SCC 2023, Braunschweig, DEU VDE Verlag GmbH, 2023. 96-101.

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