Max-min weighted SINR in coordinated multicell MIMO downlink

Desmond W.H. Cai, Tony Q.S. Quek, Chee Wei Tan, Steven H. Low

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

This paper studies the optimization of a multicell multiple-input-single- output (MISO) downlink system in which each base station serves multiple users, and each user is served by only one base station. First, we consider the problem of maximizing the minimum weighted signal-to-interference-plus-noise ratio (SINR) of all users subject to a single weighted-sum power constraint, where the weights can represent relative power costs of serving different users in each cell. We apply concave Perron-Frobenius theory to propose a joint power control and linear beamforming algorithm which converges geometrically fast to the optimal solution. As a by-product, we resolve an open problem of convergence of a previously proposed algorithm by Wiesel, Eldar, and Shamai in 2006. Next, we study the max-min weighted SINR problem subject to multiple weighted-sum power constraints and we show that it can be decoupled into its associated single-constrained subproblems.

Original languageEnglish
Title of host publication2011 International Symposium on Modeling and Optimization of Mobile, Ad Hoc, and Wireless Networks, WiOpt 2011
Pages286-293
Number of pages8
DOIs
Publication statusPublished - 2011
Event2011 International Symposium of on Modeling and Optimization of Mobile, Ad Hoc, and Wireless Networks, WiOpt 2011 - Princeton, NJ, United States
Duration: 2011 May 92011 May 13

Publication series

Name2011 International Symposium on Modeling and Optimization of Mobile, Ad Hoc, and Wireless Networks, WiOpt 2011

Conference

Conference2011 International Symposium of on Modeling and Optimization of Mobile, Ad Hoc, and Wireless Networks, WiOpt 2011
Country/TerritoryUnited States
CityPrinceton, NJ
Period11-05-0911-05-13

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Communication

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