Distributed Beamforming Techniques for Weighted Sum-Rate Maximization in MISO Interference Channels

This letter proposes a beamforming technique for weighted sum-rate (WSR) maximization in multiple-input single-output (MISO) interference channels. In order to solve the WSR maximization problem in a distributed manner, we obtain a decoupled problem by applying high signal-to-interference-plus-noise...

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Bibliographic Details
Published in:IEEE communications letters 2010-12, Vol.14 (12), p.1131-1133
Main Authors: PARK, Seok-Hwan, PARK, Haewook, LEE, Inkyu
Format: Article
Language:English
Subjects:
Applied sciences
Approximation
Array signal processing
Beamforming
Channels
Detection, estimation, filtering, equalization, prediction
Distributed beamforming
Exact sciences and technology
Information, signal and communications theory
Integrated circuits
Interference
interference channel
Interference channels
Iterative methods
Mathematical analysis
Maximization
Optimization
Radiocommunications
Receivers
Signal and communications theory
Signal to noise ratio
Signal, noise
Systems, networks and services of telecommunications
Telecommunications
Telecommunications and information theory
Transmission and modulation (techniques and equipments)
Transmitters
Transmitters. Receivers
weighted sum-rate maximization
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Summary:This letter proposes a beamforming technique for weighted sum-rate (WSR) maximization in multiple-input single-output (MISO) interference channels. In order to solve the WSR maximization problem in a distributed manner, we obtain a decoupled problem by applying high signal-to-interference-plus-noise-ratio (SINR) approximation. When there are more than two users, further approximation is employed to fully decouple the problem. Then, the decoupled problems are solved by using a zero-gradient (ZG) based algorithm which converges to a local optimal point with only a few iterations. Unlike the conventional distributed schemes where additional information should be exchanged at each iteration, each transmitter of the proposed scheme utilizes only local channel information to compute its beamformer.
ISSN:1089-7798
1558-2558
DOI:10.1109/LCOMM.2010.12.101635