articleIEEE Transactions on Wireless CommunicationsDec 1, 2008Closed access

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

Stanford University · Aalborg University

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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 two low complexity algorithms for finding a local weighted sum-rate optimum based on alternating optimization. Numerical results studying sum-rate show that the proposed algorithms…

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Authors

4

Topics & keywords

Keywords
  • Maximization
  • MIMO
  • Beamforming
  • Minimum mean square error
  • Mutual information
  • Mathematics
  • Computer science
  • Algorithm
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