Hybrid nonlinear transceiver optimization for the RIS-Aided MIMO downlink
Hybrid nonlinear transceiver optimization for the RIS-Aided MIMO downlink
The hybrid nonlinear transceiver optimization problem of reconfigurable intelligent surface (RIS)-aided multi-user multiple-input multiple-output (MU-MIMO) downlink is investigated. Specifically, the Tomlinson-Harashima precoder (THP) and the hybrid transmit precoder (TPC) of the base station are jointly optimized with the linear digital receivers of mobile users. The triangular feedback matrix of the THP is optimized and the optimal solution is derived in closed form based on a matrix inequality. Moreover, in order to tackle the nonconvexity of the constant-modulus constraints imposed on the analog TPC, the Majorization-Minimization (MM) based reconfigurable optimization framework is proposed, which strikes a trade-off between the implementation complexity and system performance in a reconfigurable manner. Explicitly, our MM-based reconfigurable optimization framework is capable of optimizing the analog TPC in a dynamically reconfigurable manner on an element-byelement, column-by-column, row-by-row or block-by-block basis. Moreover, an MM-based reconfigurable algorithm is proposed for the optimization of the phase shifting matrix at RIS, which also suffers from constant-modulus constraints. In the proposed MM-based reconfigurable algorithm, the RIS can be partitioned into a series of subarrays for striking different performance vs. complexity tradeoffs. Finally, our numerical results demonstrate the performance advantages of the proposed nonlinear hybrid transceiver optimization techniques.
Antenna arrays, Complexity theory, Hybrid Transceiver, MIMO communication, Matrix decomposition, Nonlinear Transceiver, Optimization, RIS, Receivers, Tomlinson-Harashima precoder, Transceivers, optimization, Hybrid transceiver, nonlinear transceiver
6441-6455
Wang, Qingyi
30e0505f-5ca8-400d-8a93-afa77a0d461a
Xing, Chengwen
ab8c1d7b-247f-43ec-9155-50e925c1c935
Du, Changhao
573ecd91-6f11-4710-8164-f910868b63d3
Zhao, Lian
2e270ddc-a976-4d3e-8075-e19ef9b4f767
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
1 October 2022
Wang, Qingyi
30e0505f-5ca8-400d-8a93-afa77a0d461a
Xing, Chengwen
ab8c1d7b-247f-43ec-9155-50e925c1c935
Du, Changhao
573ecd91-6f11-4710-8164-f910868b63d3
Zhao, Lian
2e270ddc-a976-4d3e-8075-e19ef9b4f767
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Wang, Qingyi, Xing, Chengwen, Du, Changhao, Zhao, Lian and Hanzo, Lajos
(2022)
Hybrid nonlinear transceiver optimization for the RIS-Aided MIMO downlink.
IEEE Transactions on Communications, 70 (10), .
(doi:10.1109/TCOMM.2022.3199020).
Abstract
The hybrid nonlinear transceiver optimization problem of reconfigurable intelligent surface (RIS)-aided multi-user multiple-input multiple-output (MU-MIMO) downlink is investigated. Specifically, the Tomlinson-Harashima precoder (THP) and the hybrid transmit precoder (TPC) of the base station are jointly optimized with the linear digital receivers of mobile users. The triangular feedback matrix of the THP is optimized and the optimal solution is derived in closed form based on a matrix inequality. Moreover, in order to tackle the nonconvexity of the constant-modulus constraints imposed on the analog TPC, the Majorization-Minimization (MM) based reconfigurable optimization framework is proposed, which strikes a trade-off between the implementation complexity and system performance in a reconfigurable manner. Explicitly, our MM-based reconfigurable optimization framework is capable of optimizing the analog TPC in a dynamically reconfigurable manner on an element-byelement, column-by-column, row-by-row or block-by-block basis. Moreover, an MM-based reconfigurable algorithm is proposed for the optimization of the phase shifting matrix at RIS, which also suffers from constant-modulus constraints. In the proposed MM-based reconfigurable algorithm, the RIS can be partitioned into a series of subarrays for striking different performance vs. complexity tradeoffs. Finally, our numerical results demonstrate the performance advantages of the proposed nonlinear hybrid transceiver optimization techniques.
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Hybrid Nonlinear Transceiver Optimization for the RIS-Aided MIMO Downlink
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Hybrid_Nonlinear_Transceiver_Optimization_for_the_RIS-Aided_MIMO_Downlink
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Accepted/In Press date: 7 August 2022
e-pub ahead of print date: 16 August 2022
Published date: 1 October 2022
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© 1972-2012 IEEE.
Keywords:
Antenna arrays, Complexity theory, Hybrid Transceiver, MIMO communication, Matrix decomposition, Nonlinear Transceiver, Optimization, RIS, Receivers, Tomlinson-Harashima precoder, Transceivers, optimization, Hybrid transceiver, nonlinear transceiver
Identifiers
Local EPrints ID: 469550
URI: http://eprints.soton.ac.uk/id/eprint/469550
ISSN: 0090-6778
PURE UUID: 44b0d24a-2c32-4b86-bcf1-ceb3c29b8e97
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Date deposited: 20 Sep 2022 16:35
Last modified: 18 Mar 2024 02:36
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Contributors
Author:
Qingyi Wang
Author:
Chengwen Xing
Author:
Changhao Du
Author:
Lian Zhao
Author:
Lajos Hanzo
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