PSO Based Sum Rate Optimization for MU-MIMO Linear Precoder with Imperfect CSI

It is well known that if the perfect CSI is available at the BS, achieving the maximum sum throughput is equivalent to minimizing the product of mean square error matrix determinants (PDetMSE). Due to the presence of background noise in the estimated signal, the channel estimation errors are unavoid...

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Veröffentlicht in:	Wireless personal communications Jg. 92; H. 3; S. 1039 - 1051
Hauptverfasser:	Kejalakshmi, V., Arivazhagan, S.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.02.2017 Springer Nature B.V
Schlagworte:	Algorithms Background noise Channels Communications Engineering Computer Communication Networks Design optimization Engineering Equivalence Errors Maximization Networks Particle swarm optimization Signal,Image and Speech Processing Swarm intelligence Systems design Transmitters Variance Imperfect CSI MIMO Sum throughput Product of Mean square error matrix determinants (PDetMSE) PSO Linear precoder
ISSN:	0929-6212, 1572-834X
Online-Zugang:	Volltext
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