Distributed beamforming techniques for weighted sum-rate maximization in MISO interference channels

Seok Hwan Park, Haewook Park, Inkyu Lee

Research output: Contribution to journalArticle

32 Citations (Scopus)

Abstract

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.

Original languageEnglish
Article number5610967
Pages (from-to)1131-1133
Number of pages3
JournalIEEE Communications Letters
Volume14
Issue number12
DOIs
Publication statusPublished - 2010 Dec

Keywords

  • Distributed beamforming
  • interference channel
  • weighted sum-rate maximization

ASJC Scopus subject areas

  • Modelling and Simulation
  • Computer Science Applications
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Distributed beamforming techniques for weighted sum-rate maximization in MISO interference channels'. Together they form a unique fingerprint.

  • Cite this