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 transceive...

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Published in:	IEEE transactions on signal processing Vol. 68; p. 1
Main Authors:	Gong, Shiqi, Xing, Chengwen, Lau, Vincent K. N., Chen, Sheng, Hanzo, Lajos
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.01.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Antenna arrays Channels Complexity Hardware Hybrid structures Hybrid transceiver designs Interference majorization-minimization Millimeter waves MIMO (control systems) MIMO interference channels Optimization Orthogonal Frequency Division Multiplexing Power consumption Signal processing Transceivers WMMSE
ISSN:	1053-587X, 1941-0476
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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 beamsteering and spatial multiplexing gains. In this paper, we develop various weighted mean-square-error minimization (WMMSE) based hybrid transceiver designs over multiple-input multiple-output (MIMO) interference channels at both millimeter wave (mmWave) and microwave frequencies. 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 that of the fully-digital WMMSE solution. To further reduce the complexity imposed, 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, low-complexity MM-based BD-ZF and SLNR hybrid designs are proposed 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 still works. Our numerical results characterize the performance of the proposed schemes in comparison to the existing benchmarkers.
AbstractList	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 beamsteering and spatial multiplexing gains. In this paper, we develop various weighted mean-square-error minimization (WMMSE) based hybrid transceiver designs over multiple-input multiple-output (MIMO) interference channels at both millimeter wave (mmWave) and microwave frequencies. 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 that of the fully-digital WMMSE solution. To further reduce the complexity imposed, 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, low-complexity MM-based BD-ZF and SLNR hybrid designs are proposed 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 still works. Our numerical results characterize the performance of the proposed schemes in comparison to the existing benchmarkers. 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 beamsteering, and spatial multiplexing gains. In this paper, we develop various weighted mean-square-error minimization (WMMSE) based hybrid transceiver designs for [Formula Omitted]-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 BD-ZF, 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.
Author	Gong, Shiqi Lau, Vincent K. N. Xing, Chengwen Hanzo, Lajos Chen, Sheng
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SubjectTerms	Algorithms Antenna arrays Channels Complexity Hardware Hybrid structures Hybrid transceiver designs Interference majorization-minimization Millimeter waves MIMO (control systems) MIMO interference channels Optimization Orthogonal Frequency Division Multiplexing Power consumption Signal processing Transceivers WMMSE
Title	Majorization-Minimization Aided Hybrid Transceivers for MIMO Interference Channels
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