Weighted Sum-Rate Maximization Using Weighted MMSE for MIMO-BC Beamforming Design

—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.

• Type: Conference
• Year: 2009
• Where: ICC
• Authors: Søren Skovgaard Christensen, Rajiv Agarwal, Elisabeth de Carvalho, John M. Cioffi
• Keywords: Communications, ICC 2009, Low Complexity, Transmit filter, Weighted Sum-rate Optimum