Robust Transceiver Design for Multi-Hop AF MIMO Relay Multicasting From Multiple Sources

In this article, the transceiver design optimization problem is investigated for multi-hop multicasting amplify-and-forward (AF) multiple-input multiple-output (MIMO) relay systems, where multiple source nodes broadcast their message to multiple destination nodes via multiple serial relay nodes. Mul...

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Veröffentlicht in:IEEE transactions on vehicular technology Jg. 70; H. 2; S. 1565 - 1576
Hauptverfasser: Bing, Justin Lee, Gopal, Lenin, Rong, Yue, Chiong, Choo W. R., Zang, Zhuquan
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.02.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Algorithms
amplify-and-forward
Design optimization
Mathematical models
Mean square error methods
MIMO (control systems)
MIMO relay
multi-hop
Multicast communication
Multicasting
Nodes
Relay systems
Robustness
Robustness (mathematics)
Spread spectrum communication
Transceivers
weighted mean-squared error
ISSN:0018-9545, 1939-9359
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Zusammenfassung:In this article, the transceiver design optimization problem is investigated for multi-hop multicasting amplify-and-forward (AF) multiple-input multiple-output (MIMO) relay systems, where multiple source nodes broadcast their message to multiple destination nodes via multiple serial relay nodes. Multiple antennas are installed at the sources, relays, and the destination nodes. In the transceiver design, we consider the mismatch between the true and the estimated channel state information (CSI), where the CSI mismatch follows the Gaussian-Kronecker model. A robust transceiver design algorithm is developed to jointly optimize the source, relay, and destination matrices to minimize the maximal weighted mean-squared error (WMSE) of the received message at all destination nodes. In particular, the WMSE is made statistically robust against the CSI mismatch by averaging through the distributions of the true CSI. Moreover, the WMSE decomposition is exploited to reduce the computational complexity of the transceiver optimization. Numerical simulations show a better performance of the proposed robust transceiver design against the channel mismatch.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:0018-9545
1939-9359
DOI:10.1109/TVT.2021.3054481