Hybrid Precoded Spatial Modulation (hPSM) for mmWave Massive MIMO Systems over Frequency-Selective Channels

Jinpeng Li; Shijian Gao; Xiang Cheng; Liuqing Yang

doi:10.1109/LWC.2020.2972866

Hybrid Precoded Spatial Modulation (hPSM) for mmWave Massive MIMO Systems over Frequency-Selective Channels

Jinpeng Li, Shijian Gao, Xiang Cheng, Liuqing Yang

Electrical and Computer Engineering

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

6 Scopus citations

Abstract

Precoded spatial modulation (PSM) is well-known for its simple receiver design and superior error performance. To fully inherit its advantages and overcome its unfeasibility to mmWave hybrid massive multi-input multi-output (mMIMO) systems, a novel hybrid PSM (hPSM) is carefully proposed. Except for a similar digital design, hPSM distinctly differs from PSM for its dependence on the analog part of the mmWave mMIMO transceivers. Moreover, unlike PSM where the relevant design suffices to be restricted on a single subcarrier, hPSM requires joint consideration across all subcarriers. Thanks to our judicious design, the error performance of hPSM is optimized and demonstrated to be advantageous over its non-hPSM counterpart. Meanwhile, the overall design is compatible with prevalent hybrid mmWave systems and enjoys a low implementation complexity.

Original language	English (US)
Article number	8989776
Pages (from-to)	839-842
Number of pages	4
Journal	IEEE Wireless Communications Letters
Volume	9
Issue number	6
DOIs	https://doi.org/10.1109/LWC.2020.2972866
State	Published - Jun 2020

Bibliographical note

Funding Information:
Manuscript received October 17, 2019; revised January 6, 2020; accepted January 30, 2020. Date of publication February 10, 2020; date of current version June 10, 2020. This work was supported in part by the Ministry National Key Research and Development Project under Grant 2017YFE0121400, in part by the Open Research fund of Key Laboratory of Wireless Sensor Network and Communication under Grant 2017003, in part by the Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, and in part by the National Science Foundation under Grant CPS-1932413 and Grant ECCS-1935915. The associate editor coordinating the review of this article and approving it for publication was Y. Gao. (Corresponding author: Xiang Cheng.) Jinpeng Li and Xiang Cheng are with the State Key Laboratory of Advanced Optical Communication Systems and Networks, Department of Electronics, School of Electronics Engineering and Computing Sciences, Peking University, Beijing 100080, China, and also with the Key Laboratory of Wireless Sensor Network and Communication, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China (e-mail: [email protected]; [email protected]).

Publisher Copyright:
© 2020 IEEE.

Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.

Keywords

analog part
error performance
hPSM
hybrid massive multi-input multi-output
mmWave

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10.1109/LWC.2020.2972866

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title = "Hybrid Precoded Spatial Modulation (hPSM) for mmWave Massive MIMO Systems over Frequency-Selective Channels",

abstract = "Precoded spatial modulation (PSM) is well-known for its simple receiver design and superior error performance. To fully inherit its advantages and overcome its unfeasibility to mmWave hybrid massive multi-input multi-output (mMIMO) systems, a novel hybrid PSM (hPSM) is carefully proposed. Except for a similar digital design, hPSM distinctly differs from PSM for its dependence on the analog part of the mmWave mMIMO transceivers. Moreover, unlike PSM where the relevant design suffices to be restricted on a single subcarrier, hPSM requires joint consideration across all subcarriers. Thanks to our judicious design, the error performance of hPSM is optimized and demonstrated to be advantageous over its non-hPSM counterpart. Meanwhile, the overall design is compatible with prevalent hybrid mmWave systems and enjoys a low implementation complexity.",

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note = "Funding Information: Manuscript received October 17, 2019; revised January 6, 2020; accepted January 30, 2020. Date of publication February 10, 2020; date of current version June 10, 2020. This work was supported in part by the Ministry National Key Research and Development Project under Grant 2017YFE0121400, in part by the Open Research fund of Key Laboratory of Wireless Sensor Network and Communication under Grant 2017003, in part by the Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, and in part by the National Science Foundation under Grant CPS-1932413 and Grant ECCS-1935915. The associate editor coordinating the review of this article and approving it for publication was Y. Gao. (Corresponding author: Xiang Cheng.) Jinpeng Li and Xiang Cheng are with the State Key Laboratory of Advanced Optical Communication Systems and Networks, Department of Electronics, School of Electronics Engineering and Computing Sciences, Peking University, Beijing 100080, China, and also with the Key Laboratory of Wireless Sensor Network and Communication, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China (e-mail: [email protected]; [email protected]). Publisher Copyright: {\textcopyright} 2020 IEEE. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.",

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N2 - Precoded spatial modulation (PSM) is well-known for its simple receiver design and superior error performance. To fully inherit its advantages and overcome its unfeasibility to mmWave hybrid massive multi-input multi-output (mMIMO) systems, a novel hybrid PSM (hPSM) is carefully proposed. Except for a similar digital design, hPSM distinctly differs from PSM for its dependence on the analog part of the mmWave mMIMO transceivers. Moreover, unlike PSM where the relevant design suffices to be restricted on a single subcarrier, hPSM requires joint consideration across all subcarriers. Thanks to our judicious design, the error performance of hPSM is optimized and demonstrated to be advantageous over its non-hPSM counterpart. Meanwhile, the overall design is compatible with prevalent hybrid mmWave systems and enjoys a low implementation complexity.

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Hybrid Precoded Spatial Modulation (hPSM) for mmWave Massive MIMO Systems over Frequency-Selective Channels

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