Worst-Case Robust Training Design for Correlated MIMO Channels in the Presence of Colored Interference

The covariance information at the transmitter side is often subject to mismatches due to various impairments. This paper considers a training design problem for multiple-input multiple-output (MIMO) systems when both channel and interference covariance matrices are imperfect at the transmitter side....

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Main Authors: Jae-Mo Kang, Sangseok Yun
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Mathematics
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Online Access:https://www.mdpi.com/2227-7390/13/13/2168
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author Jae-Mo Kang
Sangseok Yun
author_facet Jae-Mo Kang
Sangseok Yun
author_sort Jae-Mo Kang
collection DOAJ
description The covariance information at the transmitter side is often subject to mismatches due to various impairments. This paper considers a training design problem for multiple-input multiple-output (MIMO) systems when both channel and interference covariance matrices are imperfect at the transmitter side. We first derive the structure of the optimal training signal, minimizing the worst-case mean square error (MSE). With the training structure, the original problem becomes a simple power allocation problem. We propose a numerical optimal power allocation scheme and a closed-form suboptimal power allocation scheme. Simulation results show that the proposed schemes considerably outperform the conventional schemes in terms of the worst-case MSE and bit error rate (BER) performances, and the proposed closed-form training scheme has comparable performance to that of the optimal one. For example, the proposed schemes yield more than 2.5 dB signal-to-interference ratio (SIR) gains at a BER of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mn>10</mn><mrow><mo>−</mo><mn>4</mn></mrow></msup></semantics></math></inline-formula>.
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issn 2227-7390
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spelling doaj-art-b9972625e3f149d1baede5524a7fc1d02025-08-20T03:50:17ZengMDPI AGMathematics2227-73902025-07-011313216810.3390/math13132168Worst-Case Robust Training Design for Correlated MIMO Channels in the Presence of Colored InterferenceJae-Mo Kang0Sangseok Yun1Department of Artificial Intelligence, Kyungpook National University, Daegu 41566, Republic of KoreaDepartment of Information and Communications Engineering, Pukyong National University, Busan 48513, Republic of KoreaThe covariance information at the transmitter side is often subject to mismatches due to various impairments. This paper considers a training design problem for multiple-input multiple-output (MIMO) systems when both channel and interference covariance matrices are imperfect at the transmitter side. We first derive the structure of the optimal training signal, minimizing the worst-case mean square error (MSE). With the training structure, the original problem becomes a simple power allocation problem. We propose a numerical optimal power allocation scheme and a closed-form suboptimal power allocation scheme. Simulation results show that the proposed schemes considerably outperform the conventional schemes in terms of the worst-case MSE and bit error rate (BER) performances, and the proposed closed-form training scheme has comparable performance to that of the optimal one. For example, the proposed schemes yield more than 2.5 dB signal-to-interference ratio (SIR) gains at a BER of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mn>10</mn><mrow><mo>−</mo><mn>4</mn></mrow></msup></semantics></math></inline-formula>.https://www.mdpi.com/2227-7390/13/13/2168imperfect covariance matrixMIMO channel estimationminimax approachrobust training optimizationworst-case robustness
spellingShingle Jae-Mo Kang
Sangseok Yun
Worst-Case Robust Training Design for Correlated MIMO Channels in the Presence of Colored Interference
Mathematics
imperfect covariance matrix
MIMO channel estimation
minimax approach
robust training optimization
worst-case robustness
title Worst-Case Robust Training Design for Correlated MIMO Channels in the Presence of Colored Interference
title_full Worst-Case Robust Training Design for Correlated MIMO Channels in the Presence of Colored Interference
title_fullStr Worst-Case Robust Training Design for Correlated MIMO Channels in the Presence of Colored Interference
title_full_unstemmed Worst-Case Robust Training Design for Correlated MIMO Channels in the Presence of Colored Interference
title_short Worst-Case Robust Training Design for Correlated MIMO Channels in the Presence of Colored Interference
title_sort worst case robust training design for correlated mimo channels in the presence of colored interference
topic imperfect covariance matrix
MIMO channel estimation
minimax approach
robust training optimization
worst-case robustness
url https://www.mdpi.com/2227-7390/13/13/2168
work_keys_str_mv AT jaemokang worstcaserobusttrainingdesignforcorrelatedmimochannelsinthepresenceofcoloredinterference
AT sangseokyun worstcaserobusttrainingdesignforcorrelatedmimochannelsinthepresenceofcoloredinterference