A Closed-Form Solution for Robust Transceiver Design in MIMO Interference Channels under CSI Mismatch

This letter studies the robust transceiver designs for multiple-input multiple-output (MIMO) interference channels with imperfect channel state information (CSI). The sum power minimization problem is considered subject to signal-to-interference-plus-noise ratio (SINR) constraint under CSI mismatch with statistical error model. Since the problem is a joint design of transmitter and receiver beamformers, an alternating approach is developed by exploiting the primal decomposition. Specifically, closed-form expressions are derived as a solution for the robust transceiver design. Numerical results are provided to demonstrate the robustness of the proposed algorithm and the performance efficiency in combating channel errors.

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Publication Details

Journal
IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences
Published
2025-04-23
DOI
https://doi.org/10.1587/transfun.2025eal2019
Primary Topic
Advanced MIMO Systems Optimization
Type
article
Field-Weighted Citation Impact
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article

A Closed-Form Solution for Robust Transceiver Design in MIMO Interference Channels under CSI Mismatch

Conggai LI, Yanli Xu, Feng Liu
IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences
Advanced MIMO Systems Optimization
article

A Closed-Form Solution for Robust Transceiver Design in MIMO Interference Channels under CSI Mismatch

Conggai LI, Yanli Xu, Feng Liu
article en

Abstract

This letter studies the robust transceiver designs for multiple-input multiple-output (MIMO) interference channels with imperfect channel state information (CSI). The sum power minimization problem is considered subject to signal-to-interference-plus-noise ratio (SINR) constraint under CSI mismatch with statistical error model. Since the problem is a joint design of transmitter and receiver beamformers, an alternating approach is developed by exploiting the primal decomposition. Specifically, closed-form expressions are derived as a solution for the robust transceiver design. Numerical results are provided to demonstrate the robustness of the proposed algorithm and the performance efficiency in combating channel errors.

IEICE Transactions on Fundamentals of Electronics Communications and Computer SciencesVol. E108.A(11)
Shanghai Jian Qiao University (CN), Shanghai Maritime University (CN)
Openalex Percentile: Top 93%
Advanced MIMO Systems Optimization
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A Closed-Form Solution for Robust Transceiver Design in MIMO Interference Channels under CSI Mismatch — Conggai LI, Yanli Xu, et al. · IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences (2025) | TGRS Research Map | TGRS