DocumentCode :
84541
Title :
On the SINR in Massive MIMO Networks with MMSE Receivers
Author :
Bin Wang ; Yongyu Chang ; Dacheng Yang
Author_Institution :
Wireless Theor. & Technol. Lab., Beijing Univ. of Post & Telecommun., Beijing, China
Volume :
18
Issue :
11
fYear :
2014
fDate :
Nov. 2014
Firstpage :
1979
Lastpage :
1982
Abstract :
Massive multiple-input-multiple-output (MIMO) wireless communications refers to the idea equipping transmitters with a very large number of antennas and has been shown to potentially allow for orders of magnitude improvement in spectral and energy efficiency using relatively simple (linear) processing. In this letter, we consider a scenario that multiple links transmit in the vicinity of each other simultaneously using the same time-frequency resource. With the limitations of an infinite number of antennas for the receiver at each link, we use minimum-mean-squared-error (MMSE) receivers to suppress the interference. The asymptotic signal to interference and noise ratio (SINR) at each link´s receiver is analyzed by using matrix theory. In addition, we find substitute beamforming methods to achieve the same performance compared to the MMSE receiver when massive MIMO is used. Finally, the upper and lower bounds on the SINR in the limit of nonideal channel conditions are derived.
Keywords :
MIMO communication; antenna arrays; array signal processing; interference suppression; least mean squares methods; matrix algebra; radio receivers; MMSE receivers; SINR; antennas; asymptotic signal to interference and noise ratio; beamforming methods; energy efficiency; interference suppression; link receiver; lower bounds; massive MIMO networks; massive multiple-input-multiple-output wireless communications; matrix theory; minimum-mean-squared-error receivers; multiple links; nonideal channel conditions; spectral efficiency; time-frequency resource; transmitters; upper bounds; Array signal processing; Interference; MIMO; Receivers; Signal to noise ratio; Transmitters; Vectors; MMSE receivers; Massive MIMO; asymptotic SINR;
fLanguage :
English
Journal_Title :
Communications Letters, IEEE
Publisher :
ieee
ISSN :
1089-7798
Type :
jour
DOI :
10.1109/LCOMM.2014.2360199
Filename :
6909023
Link To Document :
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