Alternating Optimization Based Hybrid Transceiver Designs for Wideband Millimeter-Wave Massive Multiuser MIMO-OFDM Systems
Hybrid precoding has been considered as a promising technology for millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) systems, since it can achieve a tradeoff between system performance and hardware complexity. However, the optimal solution is difficult to obtain due to the coupl...
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| Published in: | IEEE transactions on wireless communications Vol. 22; no. 12; p. 1 |
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| Main Authors: | , , , |
| Format: | Journal Article |
| Language: | English |
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New York
IEEE
01.12.2023
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
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| ISSN: | 1536-1276, 1558-2248 |
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| Abstract | Hybrid precoding has been considered as a promising technology for millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) systems, since it can achieve a tradeoff between system performance and hardware complexity. However, the optimal solution is difficult to obtain due to the coupling between analog precoder and digital precoder, as well as the non-convex constant modulus constraint, especially in multiuser scenarios. In this paper, we investigate several hybrid transceiver designs in wideband mmWave massive multiuser MIMO-OFDM systems for maximizing the spectral efficiency. Firstly, we propose two joint designs of hybrid precoder and combiner based on alternating optimization. Specifically, the intractable spectral efficiency maximization problem is reformulated as an equivalent weighted minimum mean square error (WMMSE) problem. To design the analog precoder and combiner with non-convex constant modulus constraint, we develop two efficient algorithms based on majorization minimization (MM) and element-wise block coordinate descent (EBCD) techniques, respectively. Secondly, to reduce the computational complexity, we propose a discrete Fourier transform (DFT) codebook based scheme, which can enhance the beamforming gain and mitigate the inter-beam interference. Thirdly, the convergence and complexity analysis are presented. The proposed two alternating optimization algorithms are guaranteed to converge to locally optimal solutions. Simulation results demonstrate that the proposed hybrid transceiver designs achieve significant performance gains over state-of-the-art schemes. |
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| AbstractList | Hybrid precoding has been considered as a promising technology for millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) systems, since it can achieve a tradeoff between system performance and hardware complexity. However, the optimal solution is difficult to obtain due to the coupling between analog precoder and digital precoder, as well as the non-convex constant modulus constraint, especially in multiuser scenarios. In this paper, we investigate several hybrid transceiver designs in wideband mmWave massive multiuser MIMO-OFDM systems for maximizing the spectral efficiency. Firstly, we propose two joint designs of hybrid precoder and combiner based on alternating optimization. Specifically, the intractable spectral efficiency maximization problem is reformulated as an equivalent weighted minimum mean square error (WMMSE) problem. To design the analog precoder and combiner with non-convex constant modulus constraint, we develop two efficient algorithms based on majorization minimization (MM) and element-wise block coordinate descent (EBCD) techniques, respectively. Secondly, to reduce the computational complexity, we propose a discrete Fourier transform (DFT) codebook based scheme, which can enhance the beamforming gain and mitigate the inter-beam interference. Thirdly, the convergence and complexity analysis are presented. The proposed two alternating optimization algorithms are guaranteed to converge to locally optimal solutions. Simulation results demonstrate that the proposed hybrid transceiver designs achieve significant performance gains over state-of-the-art schemes. |
| Author | Yin, Hao Yuan, Minghao He, Dongxuan Wang, Hua |
| Author_xml | – sequence: 1 givenname: Minghao orcidid: 0000-0002-7984-3195 surname: Yuan fullname: Yuan, Minghao organization: School of Information and Electronics, Beijing Institute of Technology, Beijing, China – sequence: 2 givenname: Hua orcidid: 0000-0002-3660-4290 surname: Wang fullname: Wang, Hua organization: School of Information and Electronics, Beijing Institute of Technology, Beijing, China – sequence: 3 givenname: Hao surname: Yin fullname: Yin, Hao organization: Institute of China Electronic System Engineering Corporation, Beijing, China – sequence: 4 givenname: Dongxuan orcidid: 0000-0002-5429-3318 surname: He fullname: He, Dongxuan organization: School of Information and Electronics, Beijing Institute of Technology, Beijing, China |
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| SubjectTerms | Algorithms alternating optimization Beamforming Broadband Complexity Convergence Fourier transforms Hybrid systems hybrid transceiver designs Massive MIMO Maximization Millimeter wave communication Millimeter waves millimeter-wave MIMO communication multiuser MIMO OFDM Optimization Orthogonal Frequency Division Multiplexing Precoding Radio frequency Spectral efficiency Transceivers Wideband WMMSE |
| Title | Alternating Optimization Based Hybrid Transceiver Designs for Wideband Millimeter-Wave Massive Multiuser MIMO-OFDM Systems |
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