Impact of hardware impairments on large-scale MIMO systems over composite RG fading channels

被引:10
作者
Li, Xingwang [1 ]
Huang, Mengyan [1 ]
Tian, Xinji [1 ]
Guo, Hui [1 ]
Jin, Jin [2 ]
Zhang, Changsen [1 ]
机构
[1] Henan Polytech Univ, Sch Phys & Elect Informat Engn, Jiaozuo 454000, Peoples R China
[2] Zhengzhou Univ, Sch Informat & Engn, Zhengzhou 450001, Henan, Peoples R China
基金
中国国家自然科学基金;
关键词
Hardware impairments; Large-scale MIMO; Rician-Gamma fading; Zero-forcing receivers; MASSIVE MIMO; PERFORMANCE; CAPACITY; OPTIMIZATION; MRC;
D O I
10.1016/j.aeue.2018.03.010
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this paper, we analyze the impact of receiver hardware impairments on the achievable sum rate of multiple-input multiple-output (MIMO) systems, where the channel follows composite Rician-Gamma (RG) distribution and may be correlated at the transmitters. More specifically, we derive the analytical expressions on the lower bound for the achievable sum rate of regular and large-scale MIMO systems with zero-forcing (ZF) receivers. In order to obtain deeper insights, the asymptotic analysis for the achievable sum rate of regular MIMO systems at high signal-to-noise ratio (SNR) regime is explored. It explicitly reveals that there is a finite rate ceiling on the achievable sum rate for regular MIMO systems at high SNRs, which is irrespective of the transmit power. Additionally, for large antenna configuration, three representative cases are considered insightfully by deriving in closed-form expressions for the asymptotic achievable sum rate. It demonstrates that the finite rate ceiling vanishes for large-scale MIMO limits, which means that large-scale MIMO systems are robust to hardware impairments.
引用
收藏
页码:134 / 140
页数:7
相关论文
共 33 条
[1]  
Abdi A, 2010, IEEE VEH TECHN C, P189
[2]  
Abramowitz M., 1968, Handbook of Mathematical Functions
[3]   Energy-efficient massive MIMO system: Exploiting user location distribution variation [J].
Abuibaid, Mohammed A. ;
Colak, Sultan Aldirmaz .
AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS, 2017, 72 :17-25
[4]  
[Anonymous], 2005, Digital communication over fading channels
[5]   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
[6]   Capacity Limits and Multiplexing Gains of MIMO Channels with Transceiver Impairments [J].
Bjornson, Emil ;
Zetterberg, Per ;
Bengtsson, Mats ;
Ottersten, Bjorn .
IEEE COMMUNICATIONS LETTERS, 2013, 17 (01) :91-94
[7]   Power Allocation Strategies in Energy Harvesting Wireless Cooperative Networks [J].
Ding, Zhiguo ;
Perlaza, Samir M. ;
Esnaola, Inaki ;
Poor, H. Vincent .
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2014, 13 (02) :846-860
[8]   Energy and Spectral Efficiency of Very Large Multiuser MIMO Systems [J].
Hien Quoc Ngo ;
Larsson, Erik G. ;
Marzetta, Thomas L. .
IEEE TRANSACTIONS ON COMMUNICATIONS, 2013, 61 (04) :1436-1449
[9]  
Jeffrey A., 2007, Table of integrals, series, and products
[10]   On the ergodic capacity of rank-1 Ricean-fading MIMO channels [J].
Jin, Shi ;
Gao, Xiqi ;
You, Xiaohu .
IEEE TRANSACTIONS ON INFORMATION THEORY, 2007, 53 (02) :502-517