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ICC
2009
IEEE

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

9 years 4 days ago
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.
Søren Skovgaard Christensen, Rajiv Agarwal,
Added 21 May 2010
Updated 21 May 2010
Type Conference
Year 2009
Where ICC
Authors Søren Skovgaard Christensen, Rajiv Agarwal, Elisabeth de Carvalho, John M. Cioffi
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