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

• 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
• ISSN: 1089-7798; 1558-2558
• DOI: 10.1109/LCOMM.2010.12.101635

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.