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

Hyun Joo Choi, Seok Hwan Park, Sang Rim Lee, Inkyu Lee

Research output: Contribution to journalArticle

15 Citations (Scopus)

Abstract

In this letter, we study a linear beamforming technique for weighted sum-rate (WSR) maximization in multiple-input single-output interfering broadcast channels. We focus on a distributed beamforming scheme which utilizes local channel state information (CSI) to mitigate inter-cell interference. In order to decouple the WSR maximization problem which involves the beamforming vectors of all base stations (BSs) into a distributed WSR problem as a function of local CSI, we apply high signal-to-interference-plus-noise ratio approximation. After defining the distributed WSR function, we solve the decoupled problems by using a zero-gradient based algorithm which converges to a local optimal point. Unlike conventional distributed schemes where additional information should be exchanged at each iteration, each BS of the proposed scheme utilizes only the local CSI to compute its beamforming vectors. Also we prove the convergence of the proposed algorithm. Simulation results show that our proposed algorithm exhibits the WSR performance almost identical to the centralized scheme with substantially reduced overhead.

Original languageEnglish
Article number6153325
Pages (from-to)1314-1320
Number of pages7
JournalIEEE Transactions on Wireless Communications
Volume11
Issue number4
DOIs
Publication statusPublished - 2012 Apr

Keywords

  • Beamforming technique
  • interfering broadcast channels
  • weighted sum-rate

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

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

  • Cite this