DocumentCode :
1762398
Title :
Balancing Weighted Substreams in MIMO Interference Channels
Author :
Yetis, Cenk M. ; Yong Zeng ; Anand, Kushal ; Yong Liang Guan ; Gunawan, Erry
Author_Institution :
Dept. of Electr. & Electron. Eng., Mevlana Univ., Konya, Turkey
Volume :
3
Issue :
5
fYear :
2014
fDate :
Oct. 2014
Firstpage :
513
Lastpage :
516
Abstract :
Substreams refer to the streams of each user in a system. Substream weighting, where the weights determine the prioritization order, can be important in multiple-input multiple-output interference channels. In this letter, a distributed algorithm is proposed for the problem of power minimization subject to weighted SINR constraint. The algorithm is based on two basic features, the well-known distributed power control algorithm by Yates in 1995 and a simple linear search to find feasible SINR targets. The power control law used in the proposed algorithm is proven to linearly converge to a unique fixed point.
Keywords :
MIMO communication; distributed algorithms; minimisation; radiofrequency interference; MIMO interference channels; distributed power control algorithm; multiple input multiple output interference channel; power minimization; substream weighting; weighted SINR constraint; weighted substream balancing; Array signal processing; Interference channels; MIMO; Power control; Signal to noise ratio; Vectors; MIMO; interference channel; substream balancing; weighted SINR;
fLanguage :
English
Journal_Title :
Wireless Communications Letters, IEEE
Publisher :
ieee
ISSN :
2162-2337
Type :
jour
DOI :
10.1109/LWC.2014.2336247
Filename :
6857400
Link To Document :
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