Performance analysis and low complexity receiver design for extra-large scale MIMO systems with residual hardware impairments

doi:10. 19682/j.cnki.1005-8885.2023.0005

中国邮电高校学报(英文版) ›› 2023, Vol. 30 ›› Issue (2): 18-25.doi: 10. 19682/j.cnki.1005-8885.2023.0005

Performance analysis and low complexity receiver design for extra-large scale MIMO systems with residual hardware impairments

路畅¹,方园²,邱玲³,梁晓雯¹

1. 中国科学技术大学信息科学技术学院中科院无线光电通信重点实验室
2. 香港中文大学（深圳）
3. 中国科学技术大学

收稿日期:2022-04-20 修回日期:2022-11-07 出版日期:2023-04-30 发布日期:2023-04-27
通讯作者: 邱玲 E-mail:lqiu@ustc.edu.cn
基金资助:
国家自然科学基金

Performance analysis and low complexity receiver design for extra-large scale MIMO systems with residual hardware impairments

Received:2022-04-20 Revised:2022-11-07 Online:2023-04-30 Published:2023-04-27
Supported by:
the National Natural Science Foundation of China

摘要/Abstract

摘要：

The research purpose of this paper is focused on investigating the performance of extra-large scale massive multiple-input multiple-output ( XL-MIMO) systems with residual hardware impairments. The closed-form expression of the achievable rate under the match filter (MF) receiving strategy was derived and the influence of spatial non-stationarity and residual hardware impairments on the system performance was investigated. In order to maximize the signal-to-interference-plus-noise ratio ( SINR ) of the systems in the presence of hardware impairments, a hardware impairments-aware minimum mean squared error (HIA-MMSE) receiver was proposed. Furthermore, the stair Neumann series approximation was used to reduce the computational complexity of the HIA-MMSE receiver, which can avoid matrix inversion. Simulation results demonstrate the tightness of the derived

analytical expressions and the effectiveness of the low complexity HIA-MMSE (LC-HIA-MMSE) receiver.

关键词: extra-large scale massive multiple-input multiple-output (XL-MIMO)| hardware impairments| spatial non-stationarity| linear receiver| stair Neumann series

Abstract:

analytical expressions and the effectiveness of the low complexity HIA-MMSE (LC-HIA-MMSE) receiver.

Key words: extra-large scale massive multiple-input multiple-output (XL-MIMO)| hardware impairments| spatial non-stationarity| linear receiver| stair Neumann series

Lu Chang, Fang Yuan, Qiu Ling, Liang Xiaowen. Performance analysis and low complexity receiver design for extra-large scale MIMO systems with residual hardware impairments[J]. The Journal of China Universities of Posts and Telecommunications, 2023, 30(2): 18-25.

参考文献

[1] MARZETTA T L. Noncooperative cellular wireless with unlimited numbers of base station antennas. IEEE Transactions on

Communications, 2010, 9(11): 3590 -3600.

[2] DE CARVALHO E, ALI A, AMIRI A, et al. Non-stationarities in extra-large-scale massive MIMO. IEEE Wireless Communications,

2020, 27(4): 74 -80.

[3] TANIGUCHI L M, ABRAO T. Stochastic channel models for massive and extreme large multiple-input multiple-output systems.

Transactions on Emerging Telecommunications Technologies, 2020, 31(9): Article e4099.

[4] ALI A, DE CARVALHO E, HEATH R W. Linear receivers in non-stationary massive MIMO channels with visibility regions.

IEEE Wireless Communications Letters, 2019, 8(3): 885 -888.

[5] YANG X, CAO F, MATTHAIOU M, et al. On the uplink transmission of extra-large scale massive MIMO systems. IEEE

Transactions on Vehicular Technology, 2020, 69(12): 15229 - 15243.

[6] MARINELLO J C, ABRAO T, AMIRI A, et al. Antenna selection for improving energy efficiency in XL-MIMO systems. IEEE

Transactions on Vehicular Technology, 2020, 69(11): 13305 - 13318.

[7] BJORNSON E, HOYDIS J, KOUNTOURIS M, et al. Massive MIMO systems with non-ideal hardware: energy efficiency,

estimation, and capacity limits. IEEE Transactions on Information Theory, 2014, 60(11): 7112 -7139.

[8] DING F, WANG H, ZHANG S L, et al. Impact of residual hardware impairments on non-orthogonal multiple access based

amplify-and-forward relaying networks. IEEE Access, 2018, 6: 15117 -15131.

[9] DENG C, LIU M, LI X W, et al. Hardware impairments aware full-duplex NOMA networks over Rician fading channels. IEEE

Systems Journal, 2021, 15(2): 2515 -2518.

[10] BJORNSON E, MATTHAIOU M, DEBBAH M. Massive MIMO with non-ideal arbitrary arrays: hardware scaling laws and circuit-

aware design. IEEE Transactions on Wireless Communications, 2015, 14(8): 4353 -4368.

[11] RADHAKRISHNAN V, TAGHIZADEH O, MATHAR R. Hardware impairments-aware transceiver design for multi-carrier

full-duplex MIMO relaying. IEEE Transactions on Vehicular Technology, 2021, 70(2): 1109 -1121.

[12] ZHAO J W, CHEN M, PAN C H, et al. MSE-based transceiver designs for RIS-aided communications with hardware impairments. IEEE Communications Letters, 2022, 26(8): 1848 -1852.

[13] CAIRE G. On the ergodic rate lower bounds with applications to massive MIMO. IEEE Transactions on Wireless Communications, 2018, 17(5): 3258 -3268.

[14] MCKAY M R. Random matrix theory analysis of multiple antenna communication systems. Ph D Thesis. Sydney, Australia:

University of Sydney, 2006.

[15] STUDER C, WENK M, BURG A. MIMO transmission with residual transmit-RF impairments. Proceedings of the 2010 International ITG Workshop on Smart Antennas (WSA'10), 2010, Feb 23 - 24, Bremen, Germany. Piscataway, NJ, USA: IEEE, 2010: 189 -196.
[16] ZETTERBERG P. Experimental investigation of TDD reciprocity- based zero-forcing transmit precoding. EURASIP Journal on Advances in Signal Processing, 2011, Article 137541.
[17] WENK M. MIMO-OFDM-testbed: challenges, implementations, and measurement results. Series in Microelectronics. Konstanz, Germany: Hartung-Gorre, 2010. [18] TRUONG K T, HEATH R W. Effects of channel aging in massive
MIMO systems. IEEE Journal of Communications and Networks, 2013, 15(4): 338 -351.
[19] BJARNSON E, HOYDIS J, SANGUINETTI L. Massive MIMO networks: spectral, energy, and hardware efficiency. Foundations and Trends in Signal Processing, 2017, 11(3/4): 154 -655.
[20] ZHANG Q, JIN S, WONG K K, et al. Power scaling of uplink massive MIMO systems with arbitrary-rank channel means. IEEE Journal of Selected Topics in Signal Processing, 2014, 8 (5): 966 -981.
[21] JIANG F, LI C, GONG Z J, et al. Stair matrix and its applications to massive MIMO uplink data detection. IEEE Transactions on Communications, 2018, 66(6): 2437 -2455.
[22] PRABHU H, RODRIGUES J, EDFORS O, et al. Approximative matrix inverse computations for very-large MIMO and applications to linear pre-coding systems. Proceedings of the 2013 IEEE
Wireless Communications and Networking Conference (WCNC'13), 2013, Apr 7 - 10, Shanghai, China. Piscataway, NJ, USA: IEEE, 2013: 2710 -2715.

Performance analysis and low complexity receiver design for extra-large scale MIMO systems with residual hardware impairments

Performance analysis and low complexity receiver design for extra-large scale MIMO systems with residual hardware impairments

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