An iteratively weighted MMSE approach to distributed sum-utility maximization for a MIMO interfering broadcast channel

Qingjiang Shi, Meisam Razaviyayn, Zhi Quan Luo, Chen He

Research output: Contribution to journalArticle

708 Scopus citations

Abstract

Consider the multiple-input multiple-output (MIMO) interfering broadcast channel whereby multiple base stations in a cellular network simultaneously transmit signals to a group of users in their own cells while causing interference to each other. The basic problem is to design linear beamformers that can maximize the system throughput. In this paper, we propose a linear transceiver design algorithm for weighted sum-rate maximization that is based on iterative minimization of weighted mean-square error (MSE). The proposed algorithm only needs local channel knowledge and converges to a stationary point of the weighted sum-rate maximization problem. Furthermore, the algorithm and its convergence can be extended to a general class of sum-utility maximization problem. The effectiveness of the proposed algorithm is validated by numerical experiments.

Original languageEnglish (US)
Article number5756489
Pages (from-to)4331-4340
Number of pages10
JournalIEEE Transactions on Signal Processing
Volume59
Issue number9
DOIs
StatePublished - Sep 1 2011

Keywords

  • Linear beamformer
  • MIMO interfering broadcast channel
  • sum-utility maximization
  • weighted MMSE
  • weighted sum-rate maximization

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