Weighted sum-rate maximization using weighted MMSE for MIMO-BC beamforming design

  • Authors:
  • Søren Skovgaard Christensen;Rajiv Agarwal;Elisabeth de Carvalho;John M. Cioffi

  • Affiliations:
  • Nokia Denmark, Copenhagen, Denmark;Stanford University, Stanford, CA;Department of Electronic Systems, Aalborg University, Aalborg, Denmark;Stanford University, Stanford, CA

  • Venue:
  • ICC'09 Proceedings of the 2009 IEEE international conference on Communications
  • Year:
  • 2009

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Abstract

This paper studies linear transmit filter design for Weighted Sum-Rate (WSR) maximization in the Multiple Input Multiple Output Broadcast Channel (MIMO-BC). The problem of finding the optimal transmit filter is non-convex and intractable to solve using low complexity methods. Motivated by recent results highlighting the relationship between mutual information and Minimum Mean Square Error (MMSE), this paper establishes a relationship between weighted sum-rate and weighted MMSE in the MIMO-BC. The relationship is used to propose a low complexity algorithm for finding a local weighted sum-rate optimum based on alternating optimization. Numerical results studying sum-rate show that the proposed algorithm achieves high performance with few iterations.