Interference aware-coordinated beamforming in a multi-cell system

Chan Byoung Chae, Insoo Hwang, Robert W. Heath, Vahid Tarokh

Research output: Contribution to journalArticlepeer-review

58 Citations (Scopus)


In this paper, we propose jointly optimized linear transceiver algorithms called interference aware-coordinated beamforming (IA-CBF) for a two-cell system where each base station is equipped with multiple transmit antennas. To generalize IA-CBF to more than two-cell scenarios, a new beam-switching mechanism combined with IA-CBF is proposed. For a two-cell system, we derive a minimum-mean-square-error-type IA-CBF algorithm based on a lower bound on the achievable sum rate. We propose optimal (under an assumption of zero other-cell interference) and suboptimal transmit/receive beamforming vectors through zero-forcing IA-CBF algorithms. We also investigate the optimality of the proposed IA-CBF algorithms with respect to the number of receive antennas. Numerical results confirm that the proposed system with two transmit/receive antennas achieves the full degrees of freedom (a.k.a. multiplexing gain) of the two-cell multiple-input multiple-output channel while showing a better sum rate performance than competitive solutions such as non-cooperative eigen-beamforming and interference nulling. A three-dimensional ray tracing tool is also used to evaluate the proposed multi-cell IA-CBF algorithm.

Original languageEnglish
Article number6276198
Pages (from-to)3692-3703
Number of pages12
JournalIEEE Transactions on Wireless Communications
Issue number10
Publication statusPublished - 2012

Bibliographical note

Funding Information:
This work was in part supported by the KCC (Korea Communications Commission), Korea, under the R&D program supervised by the KCA (Korea Communications Agency) (KCA-2012-911-04-004) and the Ministry of Knowledge Economy under the IT Consilience Creative Program (NIPA-2012-H0201-12-1001). Digital Object Identifier 10.1109/TWC.2012.081312.112119

All Science Journal Classification (ASJC) codes

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


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