Robust Transceiver Design for Correlated MIMO Interference Channels in the Presence of CSI Errors under General Power Constraints

Jae-Mo Kang and Dong-Woo Lim ()
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Jae-Mo Kang: Department of Artificial Intelligence, Kyungpook National University, Daegu 41566, Republic of Korea
Dong-Woo Lim: Department of Information & Communication Engineering, Changwon National University, Changwon 51140, Republic of Korea

Mathematics, 2024, vol. 12, issue 6, 1-14

Abstract: In this paper, we consider a new design problem of optimizing a linear transceiver for correlated multiple-input multiple-output (MIMO) interference channels in the presence of channel state information (CSI) errors, which is a more realistic and practical scenario than those considered in the previous studies on uncorrelated MIMO interference channels. By taking CSI errors into account, the optimization problem is initially formulated to minimize the average mean square error (MSE) under the general power constraints. Since the objective function is not jointly convex in precoders and receive filters, we split the original problem into two convex subproblems, and then linear precoders and receive filters are obtained by solving two subproblems iteratively. It is shown that the proposed algorithm is guaranteed to converge to a local minimum. The numerical results show that the proposed algorithm can significantly reduce the sensitivity to CSI errors compared with the existing robust schemes in the correlated MIMO interference channel.

Keywords: interference channel; MIMO; stochastic robustness; MSE minimization; CSI errors; general power constraints (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2024
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