Regularized Zero-Forcing Aided Hybrid Beamforming for Millimeter-Wave Multiuser MIMO Systems

H. Yu; H. D. Tuan; E. Dutkiewicz; H. V. Poor; L. Hanzo

doi:10.1109/TWC.2022.3217145

Regularized Zero-Forcing Aided Hybrid Beamforming for Millimeter-Wave Multiuser MIMO Systems

H. Yu, H. D. Tuan, E. Dutkiewicz, H. V. Poor, L. Hanzo

Research output: Contribution to journal › Article › peer-review

Abstract

This paper considers hybrid beamforming consisting of analog beamforming (ABF) coupled with digital baseband beamforming (DBF) which is designed for multi-user (MU) multiple input multiple output (MIMO) millimeter-wave (mmWave) communications. ABF uses a limited number of radio frequency (RF) chains and finite-resolution phase-shifters to alleviate the power consumption at the base station (BS), while DBF uses either zero-forcing beamforming (ZFB) or regularized zero forcing beamforming (RZFB) to restrain MU interference. The joint design of ABF and DBF constitutes a computationally challenging mixed discrete continuous optimization problem. The paper develops efficient algorithms for its solution, which iterate scalable-complex expressions. Furthermore, we conceive a new class of MU RZFB for attaining higher rates. Simulations are provided to demonstrate the viability of the proposed algorithms and the advantages of the conceived RZFB.

Original language	English (US)
Pages (from-to)	3280-3295
Number of pages	16
Journal	IEEE Transactions on Wireless Communications
Volume	22
Issue number	5
DOIs	https://doi.org/10.1109/TWC.2022.3217145
State	Published - May 1 2023

All Science Journal Classification (ASJC) codes

Applied Mathematics
Electrical and Electronic Engineering
Computer Science Applications

Keywords

Brunn-Minkowski geometry
Multi-user multiple-input-multiple-output millimeter-wave communications
analog beamforming with b-bit resolution
hybrid beamforming
mixed discrete continuous optimization
regularized zero-forcing beamforming
scalable complexity
zero-forcing beamforming

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10.1109/TWC.2022.3217145

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title = "Regularized Zero-Forcing Aided Hybrid Beamforming for Millimeter-Wave Multiuser MIMO Systems",

abstract = "This paper considers hybrid beamforming consisting of analog beamforming (ABF) coupled with digital baseband beamforming (DBF) which is designed for multi-user (MU) multiple input multiple output (MIMO) millimeter-wave (mmWave) communications. ABF uses a limited number of radio frequency (RF) chains and finite-resolution phase-shifters to alleviate the power consumption at the base station (BS), while DBF uses either zero-forcing beamforming (ZFB) or regularized zero forcing beamforming (RZFB) to restrain MU interference. The joint design of ABF and DBF constitutes a computationally challenging mixed discrete continuous optimization problem. The paper develops efficient algorithms for its solution, which iterate scalable-complex expressions. Furthermore, we conceive a new class of MU RZFB for attaining higher rates. Simulations are provided to demonstrate the viability of the proposed algorithms and the advantages of the conceived RZFB.",

keywords = "Brunn-Minkowski geometry, Multi-user multiple-input-multiple-output millimeter-wave communications, analog beamforming with b-bit resolution, hybrid beamforming, mixed discrete continuous optimization, regularized zero-forcing beamforming, scalable complexity, zero-forcing beamforming",

author = "H. Yu and Tuan, {H. D.} and E. Dutkiewicz and Poor, {H. V.} and L. Hanzo",

note = "Funding Information: This work was supported in part by the Technology Key Project of Guangdong Province, China, under Grant HZJBGS- 2021001; in part by the Australian Research Council's Discovery Projects under Grant DP190102501; in part by the U.S. National Science Foundation under Grant CNS-2128448; in part by the Engineering and Physical Sciences Research Council (COALESCE) under Project EP/W016605/1 and Project EP/P003990/1; and in part by the European Research Council's Advanced Fellow Grant QuantCom under Grant 789028. Publisher Copyright: {\textcopyright} 2002-2012 IEEE.",

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AU - Hanzo, L.

N1 - Funding Information: This work was supported in part by the Technology Key Project of Guangdong Province, China, under Grant HZJBGS- 2021001; in part by the Australian Research Council's Discovery Projects under Grant DP190102501; in part by the U.S. National Science Foundation under Grant CNS-2128448; in part by the Engineering and Physical Sciences Research Council (COALESCE) under Project EP/W016605/1 and Project EP/P003990/1; and in part by the European Research Council's Advanced Fellow Grant QuantCom under Grant 789028. Publisher Copyright: © 2002-2012 IEEE.

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N2 - This paper considers hybrid beamforming consisting of analog beamforming (ABF) coupled with digital baseband beamforming (DBF) which is designed for multi-user (MU) multiple input multiple output (MIMO) millimeter-wave (mmWave) communications. ABF uses a limited number of radio frequency (RF) chains and finite-resolution phase-shifters to alleviate the power consumption at the base station (BS), while DBF uses either zero-forcing beamforming (ZFB) or regularized zero forcing beamforming (RZFB) to restrain MU interference. The joint design of ABF and DBF constitutes a computationally challenging mixed discrete continuous optimization problem. The paper develops efficient algorithms for its solution, which iterate scalable-complex expressions. Furthermore, we conceive a new class of MU RZFB for attaining higher rates. Simulations are provided to demonstrate the viability of the proposed algorithms and the advantages of the conceived RZFB.

AB - This paper considers hybrid beamforming consisting of analog beamforming (ABF) coupled with digital baseband beamforming (DBF) which is designed for multi-user (MU) multiple input multiple output (MIMO) millimeter-wave (mmWave) communications. ABF uses a limited number of radio frequency (RF) chains and finite-resolution phase-shifters to alleviate the power consumption at the base station (BS), while DBF uses either zero-forcing beamforming (ZFB) or regularized zero forcing beamforming (RZFB) to restrain MU interference. The joint design of ABF and DBF constitutes a computationally challenging mixed discrete continuous optimization problem. The paper develops efficient algorithms for its solution, which iterate scalable-complex expressions. Furthermore, we conceive a new class of MU RZFB for attaining higher rates. Simulations are provided to demonstrate the viability of the proposed algorithms and the advantages of the conceived RZFB.

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Regularized Zero-Forcing Aided Hybrid Beamforming for Millimeter-Wave Multiuser MIMO Systems

Abstract

All Science Journal Classification (ASJC) codes

Keywords

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