Deep Learning Assisted Transceiver Design Methods for Multisource and Multidestination AF Relay Systems

This article studies transceiver design methods for multiple-source and multiple-destination communication systems via an amplify-and-forward relay. Specifically, sum mean-square-error (MSE) minimizing source power allocation schemes, a relay beamforming matrix, and destination filter design methods...

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Bibliographic Details
Published in:Wireless personal communications 2023-10, Vol.132 (4), p.2905-2922
Main Author: Shin, Joonwoo
Format: Article
Language:English
Subjects:
Artificial neural networks
Beamforming
Communications Engineering
Communications systems
Computer Communication Networks
Deep learning
Design techniques
Engineering
Filter design (mathematics)
Iterative algorithms
Iterative methods
Machine learning
Networks
Nodes
Numerical methods
Optimization
Relay systems
Signal,Image and Speech Processing
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Summary:This article studies transceiver design methods for multiple-source and multiple-destination communication systems via an amplify-and-forward relay. Specifically, sum mean-square-error (MSE) minimizing source power allocation schemes, a relay beamforming matrix, and destination filter design methods are developed. After formulating the tractable sum-MSE minimization problem by introducing an auxiliary variable, a block-coordinate-descent-based algorithm is proposed to alternately optimize each transceiver coefficients of source, relay, and destination nodes. Subsequently, deep learning (DL)-assisted design methods are proposed to address the drawbacks of iterative algorithms. Exploiting the structure of the optimum relay beamformer, the proposed DL-based methods return only a single parameter to construct the relay beamforming matrix as well as the transceiver coefficients for the source and destination nodes, thereby, efficiently implementing the deep neural network of the proposed scheme. The effectiveness of the proposed methods was verified through numerical simulations. In particular, without iterative calculations, the DL-based schemes show almost identical performance to that of the optimum methods.
ISSN:0929-6212
1572-834X
DOI:10.1007/s11277-023-10748-y