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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Bibliographic Details
Published in:	Wireless personal communications Vol. 92; no. 3; pp. 1039 - 1051
Main Authors:	Kejalakshmi, V., Arivazhagan, S.
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.02.2017 Springer Nature B.V
Subjects:	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 Access:	Get full text
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