DocumentCode :
1530071
Title :
Monotonic Optimization Framework for the Two-User MISO Interference Channel
Author :
Jorswieck, Eduard A. ; Larsson, Erik G.
Author_Institution :
Commun. Lab., Dresden Univ. of Technol., Dresden, Germany
Volume :
58
Issue :
7
fYear :
2010
fDate :
7/1/2010 12:00:00 AM
Firstpage :
2159
Lastpage :
2168
Abstract :
Resource allocation and transmit optimization for the multiple-antenna Gaussian interference channel are important but difficult problems. The spatial degrees of freedom can be exploited to avoid, align, or utilize the interference. In recent literature, the upper boundary of the achievable rate region has been characterized. However, the resulting programming problems for finding the sum-rate, proportional fair, and minimax (egalitarian) operating points are non-linear and non-convex. In this paper, we develop a non-convex optimization framework based on monotonic optimization by outer polyblock approximation. First, the objective functions are represented in terms of differences of monotonic increasing functions. Next, the problems are reformulated as maximization of increasing functions over normal constraint sets. Finally, the idea to approximate the constraint set by outer polyblocks is explained and the corresponding algorithm is derived. Numerical examples illustrate the advantages of the proposed framework compared to an exhaustive grid search approach.
Keywords :
Communication systems; Decoding; Frequency; History; Integrated circuit noise; Interference channels; Interference constraints; MIMO; Minimax techniques; Transmitters; Resource allocation; interference channel; multiple-antenna systems; non-convex optimization;
fLanguage :
English
Journal_Title :
Communications, IEEE Transactions on
Publisher :
ieee
ISSN :
0090-6778
Type :
jour
DOI :
10.1109/TCOMM.2010.07.090068
Filename :
5504616
Link To Document :
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