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

Seok Hwan Park, Haewook Park, Inkyu Lee

Research output: Contribution to journalArticlepeer-review

37 Citations (Scopus)


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
Issue number12
Publication statusPublished - 2010 Dec

Bibliographical note

Funding Information:
Manuscript received September 4, 2010. The associate editor coordinating the review of this letter and approving it for publication was Y. Chen. The authors are with the School of Electrical Eng., Korea University, Seoul, Korea (e-mail: shpark@wireless.korea.ac.kr, {jetaime01, inkyu}@korea.ac.kr). This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MEST) (No. 2010-0017909). Digital Object Identifier 10.1109/LCOMM.2010.12.101635 1Receivers in SUD treat the interference signals as noise [1]–[4]. 2The Pareto boundary consists of rate-tuples where one can improve a particular user’s rate only by simultaneously decreasing the rate of at least one of the other users and its detailed definition is provided in [1].


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

ASJC Scopus subject areas

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


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