NDLI: Multicell downlink weighted sum-rate maximization: A distributed approach

Content Provider	IEEE Xplore Digital Library
Author	Weeraddana, P.C. Codreanu, M. Joshi, S. Latva-aho, M.
Copyright Year	2011
Description	Author affiliation: Centre for Wireless Communications, University of Oulu, P.O. Box 4500, FIN-90014, Finland (Weeraddana, P.C.; Codreanu, M.; Joshi, S.; Latva-aho, M.)
Abstract	We consider the problem of weighted sum-rate maximization in a multicell downlink system. The problem is NP-hard and therefore difficult to solve, even in a centralized manner. We derive a distributed algorithm based on primal decomposition and subgradient methods. The key idea is to solve a sequence of successive convex approximations of the original problem in a distributed manner. By fixing the maximum interference levels created by a base station on the users located in its neighboring cells, each convex approximation is decomposed into several subproblems, one for each base station. These maximum interference levels are referred to as interference commitments and they represent the complicating (or coupling) variables. For fixed interference commitments, each base station optimizes locally its own decision variables (i.e., beamformers' directions and power allocation) by using an iterative ascent algorithm for fixed number of iterations. The interference commitments are updated by using a subgradient method when the per base station optimizations are finished. Base station optimizations and the subgradient method are carried out in an iterative fashion. Even though the global optimality of the solution cannot be guaranteed due to the nonconvexity of the original problem, the numerical results show that significant gains can be achieved by only a small amount of message passing between the cooperating base stations.
Starting Page	1368
Ending Page	1375
File Size	231354
Page Count	8
File Format	PDF
ISBN	9781467303217
ISSN	10586393
e-ISBN	9781467303231
DOI	10.1109/ACSSC.2011.6190240
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-11-06
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Base stations Interference Optimization Distributed algorithms Approximation methods Iterative methods Receivers second-order cone programming wireless networks distributed optimization successive convex approximations primal decomposition geometric programming
Content Type	Text
Resource Type	Article
Subject	Signal Processing Computer Networks and Communications

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