Energy and Spectral Efficiency of Very Large Multiuser MIMO Systems

被引:2366
作者
Hien Quoc Ngo [1 ]
Larsson, Erik G. [1 ]
Marzetta, Thomas L. [2 ]
机构
[1] Linkoping Univ, Dept Elect Engn ISY, S-58183 Linkoping, Sweden
[2] Alcatel Lucent, Bell Labs, Murray Hill, NJ 07974 USA
基金
瑞典研究理事会;
关键词
Energy efficiency; spectral efficiency; multiuser MIMO; very large MIMO systems; CAPACITY; CHANNEL;
D O I
10.1109/TCOMM.2013.020413.110848
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
A multiplicity of autonomous terminals simultaneously transmits data streams to a compact array of antennas. The array uses imperfect channel-state information derived from transmitted pilots to extract the individual data streams. The power radiated by the terminals can be made inversely proportional to the square-root of the number of base station antennas with no reduction in performance. In contrast if perfect channel-state information were available the power could be made inversely proportional to the number of antennas. Lower capacity bounds for maximum-ratio combining (MRC), zero-forcing (ZF) and minimum mean-square error (MMSE) detection are derived. An MRC receiver normally performs worse than ZF and MMSE. However as power levels are reduced, the cross-talk introduced by the inferior maximum-ratio receiver eventually falls below the noise level and this simple receiver becomes a viable option. The tradeoff between the energy efficiency (as measured in bits/J) and spectral efficiency (as measured in bits/channel use/terminal) is quantified for a channel model that includes small-scale fading but not large-scale fading. It is shown that the use of moderately large antenna arrays can improve the spectral and energy efficiency with orders of magnitude compared to a single-antenna system.
引用
收藏
页码:1436 / 1449
页数:14
相关论文
共 23 条
[1]   Multiuser MIMO Achievable Rates With Downlink Training and Channel State Feedback [J].
Caire, Giuseppe ;
Jindal, Nihar ;
Kobayashi, Mari ;
Ravindran, Niranjay .
IEEE TRANSACTIONS ON INFORMATION THEORY, 2010, 56 (06) :2845-2866
[2]  
Cramer H., 1970, Random Variables and Probability Distributions
[3]   The Global Footprint of Mobile Communications: The Ecological and Economic Perspective [J].
Fehske, Albrecht ;
Fettweis, Gerhard ;
Malmodin, Jens ;
Biczok, Gergely .
IEEE COMMUNICATIONS MAGAZINE, 2011, 49 (08) :55-62
[4]   Theoretical reliability of MMSE linear diversity combining in Rayleigh-fading additive interference channels [J].
Gao, HS ;
Smith, PJ ;
Clark, MV .
IEEE TRANSACTIONS ON COMMUNICATIONS, 1998, 46 (05) :666-672
[5]   Shifting the MIMO paradigm [J].
Gesbert, David ;
Kountouris, Marios, Jr. ;
Heath, Robert W. ;
Chae, Chan-Byoung ;
Saelzer, Thomas .
IEEE SIGNAL PROCESSING MAGAZINE, 2007, 24 (05) :36-46
[6]  
Hoydis J., 2013, IEEE J IN PRESS FEB
[7]  
Huh H., P 2011 IEEE ANT PROP
[8]   Pilot Contamination and Precoding in Multi-Cell TDD Systems [J].
Jose, Jubin ;
Ashikhmin, Alexei ;
Marzetta, Thomas L. ;
Vishwanath, Sriram .
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2011, 10 (08) :2640-2651
[9]   Performance Analysis of MIMO System with Linear MMSE Receiver [J].
Kim, Namshik ;
Lee, Yusung ;
Park, Hyuncheol .
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2008, 7 (11) :4474-4478
[10]   On the distribution of SINR for the MMSE MIMO receiver and performance analysis [J].
Li, P ;
Paul, D ;
Narasimhan, R ;
Cioffi, J .
IEEE TRANSACTIONS ON INFORMATION THEORY, 2006, 52 (01) :271-286