Impact of UE Hardware Impairments on Uplink Spectral Efficiency of Cell-Free Massive MIMO Network

被引:8
作者
Li, Ning [1 ]
Fan, Pingzhi [1 ]
机构
[1] Southwest Jiaotong Univ, Informat Coding & Transmiss Key Lab Sichuan Prov, CSNMT Int Coop Res Ctr MoST, Chengdu, Peoples R China
来源
2023 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE, WCNC | 2023年
基金
中国国家自然科学基金;
关键词
Cell-Free Massive MIMO; spatial correlation; channel estimation; hardware impairments; MMSE processing; SYSTEMS; ENERGY;
D O I
10.1109/WCNC55385.2023.10118823
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, the Cell-Free (CF) massive MIMO (mMIMO) network with user equipment (UE) hardware impairments in spatially correlated channels is investigated. By using the established generic UE hardware impairment model, a minimum mean-squared error (MMSE) channel estimator is derived. Then, a lower bound on the uplink ergodic capacity is derived for CF mMIMO network with UE hardware impairments, and an optimal receive combining vector is also derived for obtaining maximum instantaneous signal-to-interference-and-noise ratio (SINR). Considering the computational complexity of the MMSE combining, the regularized zero-forcing (RZF) and maximum ratio (MR) combining schemes are presented as alternatives. Our results show that the RZF combining scheme has little loss in sum spectral efficiency (SE) compared to MMSE combining under different hardware impairments. Based on the use-and-then-forget (UatF) bound, a new closed-form uplink SE expression with MMSE estimator is derived for MR combining. Finally, we evaluate the tightness of the capacity bounds under different hardware impairments.
引用
收藏
页数:6
相关论文
共 11 条
[1]  
3GPP, 2017, TR 36.814 V9.2.0
[2]   User-Centric Cell-Free Massive MIMO Networks: A Survey of Opportunities, Challenges and Solutions [J].
Ammar, Hussein A. ;
Adve, Raviraj ;
Shahbazpanahi, Shahram ;
Boudreau, Gary ;
Srinivas, Kothapalli Venkata .
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2022, 24 (01) :611-652
[3]   Making Cell-Free Massive MIMO Competitive With MMSE Processing and Centralized Implementation [J].
Bjornson, Emil ;
Sanguinetti, Luca .
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2020, 19 (01) :77-90
[4]   Hardware Distortion Correlation Has Negligible Impact on UL Massive MIMO Spectral Efficiency [J].
Bjornson, Emil ;
Sanguinetti, Luca ;
Hoydis, Jakob .
IEEE TRANSACTIONS ON COMMUNICATIONS, 2019, 67 (02) :1085-1098
[5]   Massive MIMO networks: Spectral, energy, and hardware efficiency [J].
Björnson, Emil ;
Hoydis, Jakob ;
Sanguinetti, Luca .
Foundations and Trends in Signal Processing, 2017, 11 (3-4) :154-655
[6]   Deploying Dense Networks for Maximal Energy Efficiency: Small Cells Meet Massive MIMO [J].
Bjornson, Emil ;
Sanguinetti, Luca ;
Kountouris, Marios .
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2016, 34 (04) :832-847
[7]   Massive MIMO Systems With Non-Ideal Hardware: Energy Efficiency, Estimation, and Capacity Limits [J].
Bjornson, Emil ;
Hoydis, Jakob ;
Kountouris, Marios ;
Debbah, Merouane .
IEEE TRANSACTIONS ON INFORMATION THEORY, 2014, 60 (11) :7112-7139
[8]   Foundations of User-Centric Cell-Free Massive MIMO [J].
Demir, Ozlem Tugfe ;
Bjornson, Emil ;
Sanguinetti, Luca .
FOUNDATIONS AND TRENDS IN SIGNAL PROCESSING, 2020, 14 (3-4) :162-472
[9]   Performance Analysis of Cell-Free Massive MIMO System With Limited Fronthaul Capacity and Hardware Impairments [J].
Masoumi, Hamed ;
Emadi, Mohammad Javad .
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2020, 19 (02) :1038-1053
[10]   Scalable Cell-Free Massive MIMO Systems: Impact of Hardware Impairments [J].
Papazafeiropoulos, Anastasios ;
Bjornson, Emil ;
Kourtessis, Pandelis ;
Chatzinotas, Symeon ;
Senior, John M. .
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2021, 70 (10) :9701-9715