Network coordinated beamforming for cell-boundary users: Linear and nonlinear approaches

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

Research output: Contribution to journalArticlepeer-review

55 Citations (Scopus)


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
Issue number6
Publication statusPublished - 2009 Dec

Bibliographical note

Funding Information:
Manuscript received September 17, 2008; revised March 27, 2009. Current version published January 13, 2010. This work was supported by Samsung Electronics. This paper was presented in part at the 2009 IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) in Perugia, Italy [1]. The associate editor coordinating the review of this manuscript and approving it for publication was Dr. Christoph Mecklenbräuker.

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Electrical and Electronic Engineering


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