DocumentCode
2988948
Title
Optimal spectrum management in multiuser interference channels
Author
Zhao, Vue ; Pottie, Gregory J.
Author_Institution
Dept. of Electr. Eng., Univ. of California, Los Angeles, CA, USA
fYear
2009
fDate
June 28 2009-July 3 2009
Firstpage
2266
Lastpage
2270
Abstract
In this paper, we investigate the optimal spectrum management problem in multiuser frequency selective interference channels. First, a simple pairwise interference coupling condition under which FDMA can achieve all Pareto optimal points of the rate region is discovered. Not only is this condition sufficient, we show that it is also necessary for FDMA to be always optimal at least in symmetric channels. For the general cases where this condition is not necessarily satisfied, we first explicitly obtain the optimal solution as the optimal combination of flat FDMA and flat frequency sharing for the sum-rate maximization problem in two user symmetric flat channels, and then show that the general n-user weighted sum-rate maximization in non-symmetric frequency selective channels can be formulated into primal domain convex optimizations.
Keywords
Pareto optimisation; convex programming; frequency allocation; frequency division multiple access; multiuser channels; radiofrequency interference; wireless channels; Pareto optimal point; flat FDMA; flat frequency sharing; multiuser frequency selective interference channel; nonsymmetric frequency selective channel; optimal spectrum management; pairwise interference coupling condition; primal domain convex optimization; rate region; two user symmetric flat channel; weighted sum-rate maximization problem; Frequency division multiaccess; H infinity control; Interference channels; Interference constraints; Lagrangian functions; Optimization methods; Radio spectrum management; Region 5; Time sharing computer systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory, 2009. ISIT 2009. IEEE International Symposium on
Conference_Location
Seoul
Print_ISBN
978-1-4244-4312-3
Electronic_ISBN
978-1-4244-4313-0
Type
conf
DOI
10.1109/ISIT.2009.5205890
Filename
5205890
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