Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Channel Correlation Based Zero-Forcing Beamforming in Two-User MISO Broadcast Channel

Channel Correlation Based Zero-Forcing Beamforming in Two-User MISO Broadcast Channel In this paper, a novel zero-forcing beamforming (ZFBF) is presented for the two-user multiple input single output broadcast channel. Based on the knowledge of channel correlations at the transmitter side, a nonlinear optimization problem is formulated to determine the beamformers so that the weighted ergodic sum-rate is maximized subject to avoiding multi-user interference and meeting a total power constraint. By factorizing each beamformer, the original complicated problem can be transformed into a simpler one. Numerical results show that the performance gap between the proposed ZFBF and the traditional instantaneous channel state information based ZFBF is within 1.5 bits per transmission. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Wireless Personal Communications Springer Journals

Channel Correlation Based Zero-Forcing Beamforming in Two-User MISO Broadcast Channel

Wireless Personal Communications , Volume 97 (4) – Aug 17, 2017

Loading next page...
 
/lp/springer_journal/channel-correlation-based-zero-forcing-beamforming-in-two-user-miso-JNDelP0N9q

References (18)

Publisher
Springer Journals
Copyright
Copyright © 2017 by Springer Science+Business Media, LLC
Subject
Engineering; Communications Engineering, Networks; Signal,Image and Speech Processing; Computer Communication Networks
ISSN
0929-6212
eISSN
1572-834X
DOI
10.1007/s11277-017-4813-z
Publisher site
See Article on Publisher Site

Abstract

In this paper, a novel zero-forcing beamforming (ZFBF) is presented for the two-user multiple input single output broadcast channel. Based on the knowledge of channel correlations at the transmitter side, a nonlinear optimization problem is formulated to determine the beamformers so that the weighted ergodic sum-rate is maximized subject to avoiding multi-user interference and meeting a total power constraint. By factorizing each beamformer, the original complicated problem can be transformed into a simpler one. Numerical results show that the performance gap between the proposed ZFBF and the traditional instantaneous channel state information based ZFBF is within 1.5 bits per transmission.

Journal

Wireless Personal CommunicationsSpringer Journals

Published: Aug 17, 2017

There are no references for this article.