Performance Analysis for User-Centric Cell-Free Massive MIMO Systems With Hardware Impairments and Multi-Antenna Users
Cell-free massive multiple-input multiple-output (CF mMIMO) is known for its ability to provide ubiquitous connectivity. In this paper, we investigate the achievable spectral efficiency (SE) of a user-centric (UC) CF mMIMO system with both multi-antenna APs and users over joint-correlated Rayleigh f...
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Veröffentlicht in: | IEEE transactions on wireless communications 2024-02, Vol.23 (2), p.1243-1259 |
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creator | Xie, Mingfeng Yu, Xiangbin Rui, Yun Wang, Kezhi Dang, Xiaoyu Zhang, Jiayi |
description | Cell-free massive multiple-input multiple-output (CF mMIMO) is known for its ability to provide ubiquitous connectivity. In this paper, we investigate the achievable spectral efficiency (SE) of a user-centric (UC) CF mMIMO system with both multi-antenna APs and users over joint-correlated Rayleigh fading channels. First, we provide a performance analytical framework for the system with the linear decorrelator and study the impact of hardware impairments (HIs) at transceivers on the uplink SE. Based on that, we discuss the local minimum mean-squared error (MMSE) and partial MMSE combining schemes and the partial large-scale fading decoding (LSFD) method from a scalable point of view. Besides, the exact closed-form SE expression is derived with maximum ratio combining (MRC). Then, we study the MMSE-based successive interference cancelation (MMSE-SIC) detector and give an approximate closed-form SE expression with MRC. In the simulations, we compare the linear decorrelator to the MMSE-SIC detector under different hardware-impaired scenarios. Numerical results correspond to the theoretical analyses and show that the impact of HIs can be mitigated by adding the number of receive antennas. |
doi_str_mv | 10.1109/TWC.2023.3287577 |
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In this paper, we investigate the achievable spectral efficiency (SE) of a user-centric (UC) CF mMIMO system with both multi-antenna APs and users over joint-correlated Rayleigh fading channels. First, we provide a performance analytical framework for the system with the linear decorrelator and study the impact of hardware impairments (HIs) at transceivers on the uplink SE. Based on that, we discuss the local minimum mean-squared error (MMSE) and partial MMSE combining schemes and the partial large-scale fading decoding (LSFD) method from a scalable point of view. Besides, the exact closed-form SE expression is derived with maximum ratio combining (MRC). Then, we study the MMSE-based successive interference cancelation (MMSE-SIC) detector and give an approximate closed-form SE expression with MRC. In the simulations, we compare the linear decorrelator to the MMSE-SIC detector under different hardware-impaired scenarios. Numerical results correspond to the theoretical analyses and show that the impact of HIs can be mitigated by adding the number of receive antennas.</description><identifier>ISSN: 1536-1276</identifier><identifier>EISSN: 1558-2248</identifier><identifier>DOI: 10.1109/TWC.2023.3287577</identifier><identifier>CODEN: ITWCAX</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Antennas ; cell-free massive MIMO ; Closed form solutions ; Correlation ; Decoding ; Decorrelation ; Detectors ; Exact solutions ; Fading ; Fading channels ; Hardware ; Hardware impairments ; multi-antenna user ; Signal to noise ratio ; spectral efficiency ; user-centric</subject><ispartof>IEEE transactions on wireless communications, 2024-02, Vol.23 (2), p.1243-1259</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. 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In this paper, we investigate the achievable spectral efficiency (SE) of a user-centric (UC) CF mMIMO system with both multi-antenna APs and users over joint-correlated Rayleigh fading channels. First, we provide a performance analytical framework for the system with the linear decorrelator and study the impact of hardware impairments (HIs) at transceivers on the uplink SE. Based on that, we discuss the local minimum mean-squared error (MMSE) and partial MMSE combining schemes and the partial large-scale fading decoding (LSFD) method from a scalable point of view. Besides, the exact closed-form SE expression is derived with maximum ratio combining (MRC). Then, we study the MMSE-based successive interference cancelation (MMSE-SIC) detector and give an approximate closed-form SE expression with MRC. In the simulations, we compare the linear decorrelator to the MMSE-SIC detector under different hardware-impaired scenarios. 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In this paper, we investigate the achievable spectral efficiency (SE) of a user-centric (UC) CF mMIMO system with both multi-antenna APs and users over joint-correlated Rayleigh fading channels. First, we provide a performance analytical framework for the system with the linear decorrelator and study the impact of hardware impairments (HIs) at transceivers on the uplink SE. Based on that, we discuss the local minimum mean-squared error (MMSE) and partial MMSE combining schemes and the partial large-scale fading decoding (LSFD) method from a scalable point of view. Besides, the exact closed-form SE expression is derived with maximum ratio combining (MRC). Then, we study the MMSE-based successive interference cancelation (MMSE-SIC) detector and give an approximate closed-form SE expression with MRC. In the simulations, we compare the linear decorrelator to the MMSE-SIC detector under different hardware-impaired scenarios. Numerical results correspond to the theoretical analyses and show that the impact of HIs can be mitigated by adding the number of receive antennas.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TWC.2023.3287577</doi><tpages>17</tpages><orcidid>https://orcid.org/0000-0003-2434-4329</orcidid><orcidid>https://orcid.org/0000-0001-8602-0800</orcidid><orcidid>https://orcid.org/0000-0002-6006-2911</orcidid><orcidid>https://orcid.org/0000-0002-3253-9137</orcidid><orcidid>https://orcid.org/0000-0002-1519-7139</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Antennas cell-free massive MIMO Closed form solutions Correlation Decoding Decorrelation Detectors Exact solutions Fading Fading channels Hardware Hardware impairments multi-antenna user Signal to noise ratio spectral efficiency user-centric |
title | Performance Analysis for User-Centric Cell-Free Massive MIMO Systems With Hardware Impairments and Multi-Antenna Users |
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