DocumentCode :
3609663
Title :
Performance analysis of zero-forcing-precoded scheduling system with adaptive modulation for multiuser-multiple input multiple output transmission
Author :
Donghun Lee
Volume :
9
Issue :
16
fYear :
2015
Firstpage :
2007
Lastpage :
2012
Abstract :
In this study, the author presents performance analysis of a zero-forcing (ZF)-precoded scheduling system with adaptive modulation for multiuser-multiple input multiple output transmission. The proposed scheduling system adapts the transmission rate and selects the best modulation to satisfy a given target bit error rate (BER). The author derive the tight closed-form expressions of the ZF-precoded system with adaptive modulation for the average spectral efficiency where user set non-scheduling and user set scheduling methods are presented. The author also presents the tight closed-form BER expressions of the non-scheduling and scheduling systems with adaptive modulation for M-ary quadrature amplitude modulation and M-ary phase shift keying modulation. From the analytical results, the author shows that the proposed scheduling system provides performance improvement of the average spectral efficiency over the non-scheduling system. Moreover, the proposed system provides the signal to noise ratio gain compared with the non-scheduling system to satisfy the target BER regardless of modulation types. This is because the diversity order of the proposed system is superior to that of the non-scheduling system by multi-user diversity.
Keywords :
MIMO communication; adaptive modulation; error statistics; phase shift keying; precoding; quadrature amplitude modulation; telecommunication scheduling; M-ary phase shift keying modulation; M-ary quadrature amplitude modulation; ZF-precoded system; adaptive modulation; bit error rate; closed-form BER expressions; multi-user diversity; multiuser-multiple input multiple output transmission; user set nonscheduling methods; zero-forcing precoded scheduling system; zero-forcing-precoded scheduling system;
fLanguage :
English
Journal_Title :
Communications, IET
Publisher :
iet
ISSN :
1751-8628
Type :
jour
DOI :
10.1049/iet-com.2015.0201
Filename :
7315003
Link To Document :
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