DocumentCode :
3605100
Title :
An SNR Approximation for Distributed Massive MIMO With Zero Forcing
Author :
Senanayake, Rajitha ; Smith, Peter ; Phee Lep Yeoh ; Evans, Jamie
Author_Institution :
Dept. of Electr. & Electron. Eng., Univ. of Melbourne, Parkville, VIC, Australia
Volume :
19
Issue :
11
fYear :
2015
Firstpage :
1885
Lastpage :
1888
Abstract :
In this letter, we present a new theoretical analysis of the performance of a massive MIMO network with distributed receive antennas. We consider the uplink of a cooperative cellular network that jointly detects signals from multiple transmitters with a large number of distributed antennas. Applying zero-forcing (ZF) across the receivers, we present our accurate approximation for the signal-to-noise ratio (SNR) of an arbitrary user with Rayleigh fading, path loss and shadowing. We further derive easy-to-evaluate closed-form expressions for the symbol error probability (SEP) and the achievable rate of an arbitrary user. Numerical examples highlight that our novel results provide accurate approximations for the performance of a distributed massive MIMO network.
Keywords :
MIMO communication; Rayleigh channels; cellular radio; cooperative communication; error statistics; radio transmitters; receiving antennas; Rayleigh fading; SNR approximation; arbitrary user; cooperative cellular network; distributed massive MIMO network; distributed receive antennas; multiple transmitters; path loss; path shadowing; signal-to-noise ratio; symbol error probability; zero forcing; Antenna arrays; Approximation methods; MIMO; Receivers; Signal to noise ratio; Transmitters; Distributed antenna arrays; Massive MIMO; Zero Forcing; Zero forcing; distributed antenna arrays; massive MIMO;
fLanguage :
English
Journal_Title :
Communications Letters, IEEE
Publisher :
ieee
ISSN :
1089-7798
Type :
jour
DOI :
10.1109/LCOMM.2015.2474377
Filename :
7229310
Link To Document :
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