Majorization-minimization aided hybrid transceivers for MIMO interference channels
Majorization-minimization aided hybrid transceivers for MIMO interference channels
The potential of deploying large-scale antenna arrays in future wireless systems has stimulated extensive research on hybrid transceiver designs aiming to approximate the optimal fully-digital schemes with much reduced hardware cost and signal processing complexity. Generally, this hybrid transceiver structure requires a joint design of analog and digital processing to enable both beam steering and spatial multiplexing gains. In this paper, we develop various weighted mean-square-error minimization (WMMSE) based hybrid transceiver designs for K-user multiple-input multiple-output (MIMO) interference systems, which are applicable to both millimeter wave (mmWave) channels and Rayleigh fading channels. Firstly, a heuristic joint design of hybrid precoder and combiner using alternating optimization is proposed, in which the majorization-minimization (MM) method is utilized to design the analog precoder and combiner under unit-modulus constraints. It is demonstrated that this scheme achieves comparable performance to the fully-digital WMMSE solution. To further reduce the computational complexity, a phase projection based two-stage scheme is proposed to decouple the designs of the analog and digital precoder/combiner. Secondly, inspired by the fully-digital solutions based on the block diagonalization zero-forcing (BD-ZF) and signal-to-leakage-plus-noise ratio (SLNR) criteria, the low-complexity MM-based BDZF and SLNR hybrid designs are proposed, respectively, for approximating the corresponding fully-digital solutions. Thirdly, the partially-connected hybrid structure conceived for reducing system hardware cost and power consumption is considered, for which the MM-based alternating optimization algorithm still works. Our numerical results characterize the sum rate performance of all proposed hybrid designs in comparison to the existing benchmarks.
Hybrid transceiver designs, MIMO interference channels, WMMSE, majorization-minimization
4903-4918
Gong, Shiqi
28581532-77f4-4d05-9bad-1d20682a2730
Xing, Chengwen
25b9b573-243b-49e1-aac6-229b8614f0dc
Lau, Vincent K.N.
3e361254-b33f-46f4-abbb-4cf409f1f66c
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
2020
Gong, Shiqi
28581532-77f4-4d05-9bad-1d20682a2730
Xing, Chengwen
25b9b573-243b-49e1-aac6-229b8614f0dc
Lau, Vincent K.N.
3e361254-b33f-46f4-abbb-4cf409f1f66c
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Gong, Shiqi, Xing, Chengwen, Lau, Vincent K.N., Chen, Sheng and Hanzo, Lajos
(2020)
Majorization-minimization aided hybrid transceivers for MIMO interference channels.
IEEE Transactions on Signal Processing, 68, , [9174747].
(doi:10.1109/TSP.2020.3018548).
Abstract
The potential of deploying large-scale antenna arrays in future wireless systems has stimulated extensive research on hybrid transceiver designs aiming to approximate the optimal fully-digital schemes with much reduced hardware cost and signal processing complexity. Generally, this hybrid transceiver structure requires a joint design of analog and digital processing to enable both beam steering and spatial multiplexing gains. In this paper, we develop various weighted mean-square-error minimization (WMMSE) based hybrid transceiver designs for K-user multiple-input multiple-output (MIMO) interference systems, which are applicable to both millimeter wave (mmWave) channels and Rayleigh fading channels. Firstly, a heuristic joint design of hybrid precoder and combiner using alternating optimization is proposed, in which the majorization-minimization (MM) method is utilized to design the analog precoder and combiner under unit-modulus constraints. It is demonstrated that this scheme achieves comparable performance to the fully-digital WMMSE solution. To further reduce the computational complexity, a phase projection based two-stage scheme is proposed to decouple the designs of the analog and digital precoder/combiner. Secondly, inspired by the fully-digital solutions based on the block diagonalization zero-forcing (BD-ZF) and signal-to-leakage-plus-noise ratio (SLNR) criteria, the low-complexity MM-based BDZF and SLNR hybrid designs are proposed, respectively, for approximating the corresponding fully-digital solutions. Thirdly, the partially-connected hybrid structure conceived for reducing system hardware cost and power consumption is considered, for which the MM-based alternating optimization algorithm still works. Our numerical results characterize the sum rate performance of all proposed hybrid designs in comparison to the existing benchmarks.
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Accepted/In Press date: 17 August 2020
e-pub ahead of print date: 24 August 2020
Published date: 2020
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Manuscript received July 19, 2019; revised February 11, 2020 and August 16, 2020; accepted August 17, 2020. Date of publication August 24, 2020; date of current version September 10, 2020. The associate editor coordinating the review of this manuscript and approving it for publication was Prof. Mats Bengtsson. This work was supported in part by the National Natural Science Foundation of China under Grants 61722104, 61671058, and 61620106001, and in part by Ericsson. Lajos Hanzo would like to acknowledge the financial support of the Engineering, and Physical Sciences Research Council projects under Grants EP/N004558/1, EP/P034284/1, EP/P034284/1, and EP/P003990/1 (COALESCE), of the Royal Society’s Global Challenges Research Fund Grant as well as of the European Research Council’s Advanced Fellow Grant Quant-Com. (Corresponding author: Chengwen Xing.) Shiqi Gong is with the School of Information, and Electronics, Beijing Institute of Technology, Beijing 100081, China, and also with the State Key Laboratory of Internet of Things for Smart City, Department of Electrical, and Computer Engineering, University of Macau, Taipa 999078, China (e-mail: gsqyx@163.com).
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© 1991-2012 IEEE.
Keywords:
Hybrid transceiver designs, MIMO interference channels, WMMSE, majorization-minimization
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Local EPrints ID: 443242
URI: http://eprints.soton.ac.uk/id/eprint/443242
ISSN: 1053-587X
PURE UUID: 2dcbef61-84ea-4862-a4b2-c5bbdbe7c1ce
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Date deposited: 18 Aug 2020 16:32
Last modified: 18 Mar 2024 05:15
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Author:
Shiqi Gong
Author:
Chengwen Xing
Author:
Vincent K.N. Lau
Author:
Sheng Chen
Author:
Lajos Hanzo
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