Network coordinated beamforming for cell-boundary users

Linear and nonlinear approaches

Chan Byoung Chae, Sang Hyun Kim, Robert W. Heath

Research output: Contribution to journalArticle

53 Citations (Scopus)

Abstract

In this paper, low-complexity linear and nonlinear network coordinated beamforming (N-CBF) algorithms are proposed for the multi-cell downlink channel. We consider a downlink scenario with three base stations (BSs) equipped with one transmit antenna each and three mobile users, each of which has more than one receive antenna and is located on the cell-boundary. A single data stream is transmitted to all three cell-boundary users where each user receives his/her own independent data stream (called full broadcast channel), or where two users receive the same data stream while the third user receives a different data stream (called clustered broadcast channel). For full and clustered broadcast channel scenarios, we propose low-complexity linear N-CBF algorithms approaching the sum capacity realized by multi-cell dirty paper coding. We also propose low complexity nonlinear N-CBF algorithms that avoid power enhancement and maximize the effective channel gain for enhancing the bit error rate (BER). The impact of the number of receive antennas on the behavior of the proposed system is also discussed. Monte Carlo simulations are carried out to verify the sum rate and BER performances of the proposed algorithms.

Original languageEnglish
Article number5370676
Pages (from-to)1094-1105
Number of pages12
JournalIEEE Journal on Selected Topics in Signal Processing
Volume3
Issue number6
DOIs
Publication statusPublished - 2009 Dec 1

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Beamforming
Nonlinear networks
Linear networks
Antennas
Bit error rate
Base stations

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Electrical and Electronic Engineering

Cite this

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Network coordinated beamforming for cell-boundary users : Linear and nonlinear approaches. / Chae, Chan Byoung; Kim, Sang Hyun; Heath, Robert W.

In: IEEE Journal on Selected Topics in Signal Processing, Vol. 3, No. 6, 5370676, 01.12.2009, p. 1094-1105.

Research output: Contribution to journalArticle

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