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Multicell Downlink Weighted Sum-Rate Maximization: A Distributed Approach
KTH, School of Electrical Engineering (EES), Automatic Control.
University of Oulu, Finland. (CWC)
University of Oulu, Finland. (CWC)
University of Maryland.
2013 (English)In: IEEE Transactions on Signal Processing, ISSN 1053-587X, E-ISSN 1941-0476, Vol. 61, no 3, 556-570 p.Article in journal (Refereed) Published
Abstract [en]

We develop an easy to implement distributed method for weighted sum-rate maximization (WSRMax) problem in a multicell multiple antenna downlink system. Unlike the recently proposed minimum weighted mean-squared error based algorithms, where at each iteration all mobile terminals needs to estimate the covariance matrices of their received signals, compute and feedback over the air certain parameters to the base stations (BS), our algorithm operates without any user terminal assistance. It requires only BS to BS signalling via reliable backhaul links (e.g. fiber, microwave links) and all required computation is performed at the BSs. The algorithm is based on primal decomposition and subgradient methods, where the original nonconvex problem is split into a master problem and a number of subproblems (one for each BS). A novel sequential convex approximation strategy is proposed to address the nonconvex master problem. In the case of subproblems, we adopt an existing iterative approach based on second-order cone programming and geometric programming. The subproblems are coordinated to find a (possibly suboptimal) solution to the master problem. Subproblems can be solved by BSs in a fully asynchronous manner, though the coordination between subproblems should be synchronous. Numerical results are provided to see the behavior of the algorithm under different degrees of BS coordination. They show that the proposed algorithm yields a good tradeoff between the implementation-level simplicity and the performance.

Place, publisher, year, edition, pages
IEEE Press, 2013. Vol. 61, no 3, 556-570 p.
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:kth:diva-138492OAI: oai:DiVA.org:kth-138492DiVA: diva2:681106
Note

QC 20140205

Available from: 2013-12-19 Created: 2013-12-19 Last updated: 2017-12-06Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
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  • Other style
More styles
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  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
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  • asciidoc
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