NDLI: Weighted Sum Rate Maximizing Transceiver Design in MIMO Interference Channel

Content Provider	IEEE Xplore Digital Library
Author	Joonwoo Shin Jaekyun Moon
Copyright Year	2011
Abstract	This paper is concerned with transmit and receive filter optimization for the K-user MIMO interference channel. Specifically, linear transmit and receive filter sets are designed which maximize the weighted sum rate while allowing each transmitter to utilize only the local channel state information. Our approach is based on extending the existing method of minimizing the weighted mean squared error (MSE) for the MIMO broadcast channel to the K-user interference channel at hand. For the case of the individual transmitter power constraint, however, a straightforward generalization of the existing method does not reveal a viable solution. It is in fact shown that there exists no closed-form solution for the transmit filter but simple one-dimensional parameter search yields the desired solution. Compared to the direct filter optimization using gradient-based search, our solution requires considerably less computational complexity and a smaller amount of feedback resources while achieving essentially the same level of weighted sum rate.
Starting Page	1
Ending Page	5
File Size	178134
Page Count	5
File Format	PDF
ISBN	9781424492664
ISSN	1930529X
e-ISBN	9781424492688
e-ISBN	9781424492671
DOI	10.1109/GLOCOM.2011.6134569
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-12-05
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	MIMO Interference channels Transceivers Peer to peer computing Optimization Covariance matrix Minimization
Content Type	Text
Resource Type	Article

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