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

Christensen, Søren Skovgaard, Agarwal, Rajiv, De Carvalho, Elisabeth, Cioffi, John M.·2008·IEEE Transactions on Wireless Communications

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 achieve high performance with few iterations.

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Metadata

Authors
Christensen, S. S., Agarwal, R., De Carvalho, E., & Cioffi, J. M.
Venue
IEEE Transactions on Wireless Communications
Published
2008-12
Volume
7
Issue
12
Pages
4792-4799
ISSN
  • 1536-1276 (ISSN-L)
  • 1558-2248
OpenAlex
W2163762663
Cited by
1,014
References
0
FWCI
15.24
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Weighted sum-rate maximization using weighted MMSE for MIMO-BC beamforming design. https://app.cochat.ai/papers/10.1109/t-wc.2008.070851
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Christensen, S. S., Agarwal, R., De Carvalho, E., & Cioffi, J. M. (2008). Weighted sum-rate maximization using weighted MMSE for MIMO-BC beamforming design. IEEE Transactions on Wireless Communications. https://doi.org/10.1109/t-wc.2008.070851

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