Asymptotic Analysis of RZF in Large-Scale MU-MIMO Systems Over Rician Channels

被引:15
作者
Kammoun, Abla [1 ]
Sanguinetti, Luca [2 ,3 ]
Debbah, Merouane [3 ,4 ]
Alouini, Mohamed-Slim [1 ]
机构
[1] King Abdullah Univ Sci & Technol, Elect Engn Dept, Thuwal 23955, Saudi Arabia
[2] Univ Pisa, Dipartimento Ingn Informaz, I-56122 Pisa, Italy
[3] Univ Paris Saclay, Cent Supelec, Large Syst & Networks Grp LANEAS, F-91192 Gif Sur Yvette, France
[4] Huawei Techol Co Ltd, Math & Algorithm Sci Lab, F-92100 Boulogne, France
关键词
Large-scale MIMO; precoding; downlink; spatial channel correlation; Rician channel; spetral efficiency; asymptotic analysis; random matrix theory; MASSIVE MIMO; WIRELESS; NETWORKS; DESIGN; ENERGY;
D O I
10.1109/TIT.2019.2923401
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, we focus on the downlink ergodic sum rate of a single-cell large-scale multiuser MIMO system in which the base station employs N antennas to communicate with K single-antenna user equipments (UEs). A regularized zero-forcing (RZF) scheme is used for precoding under the assumption that each UE uses a specific power and each link forms a spatially correlated MIMO Rician fading channel. The analysis is conducted assuming that N and K grow large with a given ratio and perfect channel state information is available at the base station. New results from random matrix theory and large system analysis are used to compute an asymptotic expression of the signal-to-interference-plus-noise ratio as a function of system parameters, spatial correlation matrix, and Rician factor. Numerical results are used to validate the accuracy of asymptotic approximations in the finite system regime and to evaluate the performance under different operating conditions. It turns out that the asymptotic expressions provide accurate approximations even for relatively small values of N and K.
引用
收藏
页码:7268 / 7286
页数:19
相关论文
共 31 条
[1]   Joint Spatial Division and Multiplexing-The Large-Scale Array Regime [J].
Adhikary, Ansuman ;
Nam, Junyoung ;
Ahn, Jae-Young ;
Caire, Giuseppe .
IEEE TRANSACTIONS ON INFORMATION THEORY, 2013, 59 (10) :6441-6463
[2]   Performance Evaluation of Massive MIMO in Correlated Rician and Correlated Nakagami-m Fading [J].
AL-Salihi, Hayder ;
Said, Fatin .
2015 9TH INTERNATIONAL CONFERENCE ON NEXT GENERATION MOBILE APPLICATIONS, SERVICES AND TECHNOLOGIES (NGMAST 2015), 2015, :222-227
[3]  
[Anonymous], 2011, Random Matrix Methods for Wireless Communications
[4]   On the Precoder Design of Flat Fading MIMO Systems Equipped With MMSE Receivers: A Large-System Approach [J].
Artigue, Cedric ;
Loubaton, Philippe .
IEEE TRANSACTIONS ON INFORMATION THEORY, 2011, 57 (07) :4138-4155
[5]   Massive MIMO Has Unlimited Capacity [J].
Bjornson, Emil ;
Hoydis, Jakob ;
Sanguinetti, Luca .
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2018, 17 (01) :574-590
[6]   Massive MIMO networks: Spectral, energy, and hardware efficiency [J].
Björnson E. ;
Hoydis J. ;
Sanguinetti L. .
Foundations and Trends in Signal Processing, 2017, 11 (3-4) :154-655
[7]   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
[8]   Massive MIMO: Ten Myths and One Critical Question [J].
Bjornson, Emil ;
Larsson, Erik G. ;
Marzetta, Thomas L. .
IEEE COMMUNICATIONS MAGAZINE, 2016, 54 (02) :114-123
[9]   Optimal Design of Energy-Efficient Multi-User MIMO Systems: Is Massive MIMO the Answer? [J].
Bjornson, Emil ;
Sanguinetti, Luca ;
Hoydis, Jakob ;
Debbah, Merouane .
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2015, 14 (06) :3059-3075
[10]   A CLT FOR INFORMATION-THEORETIC STATISTICS OF NON-CENTERED GRAM RANDOM MATRICES [J].
Hachem, Walid ;
Kharouf, Malika ;
Najim, Jamal ;
Silverstein, Jack W. .
RANDOM MATRICES-THEORY AND APPLICATIONS, 2012, 1 (02)