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 res...

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Bibliographic Details
Published in:IEEE transactions on wireless communications 2008-12, Vol.7 (12), p.4792-4799
Main Authors: Christensen, S.S., Agarwal, R., De Carvalho, E., Cioffi, J.M.
Format: Article
Language:English
Subjects:
Algorithms
Antennas
Antennas and propagation
Applied sciences
Array signal processing
Broadcasting
Channels
Complexity
Detection, estimation, filtering, equalization, prediction
Downlink
Exact sciences and technology
Information, signal and communications theory
Iterative algorithms
Iterative methods
Maximization
Mean square error methods
Meteorological radar
MIMO
MIMO systems
Mutual information
Nonlinear filters
Optimization
Radiocommunications
Signal and communications theory
Signal, noise
smart antennas
Systems, networks and services of telecommunications
Telecommunications
Telecommunications and information theory
transceiver design
Transmission and modulation (techniques and equipments)
Transmitters. Receivers
Wireless communication
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Summary: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 achieve high performance with few iterations.
ISSN:1536-1276
1558-2248
DOI:10.1109/T-WC.2008.070851