Multi-cell MIMO cooperative networks: a new look at interference

  • Authors:

  • David Gesbert;Stephen Hanly;Howard Huang;Shlomo Shamai Shitz;Osvaldo Simeone;Wei Yu

  • Affiliations:

  • EURECOM, Sophia Antipolis, France;National University of Singapore, Department of Electrical and Computer Engineering;Bell Labs, Alcatel-Lucent, NJ.;Technion, Israel;Center for Wireless Communication and Signal Processing Research, New Jersey Institute of Technology;The Edward S. Rogers Sr. Department of Electrical and Computer Engineering, University of Toronto

  • Venue:
  • IEEE Journal on Selected Areas in Communications - Special issue on cooperative communications in MIMO cellular networks
  • Year:
  • 2010

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Abstract

This paper presents an overview of the theory and currently known techniques for multi-cell MIMO (multiple input multiple output) cooperation in wireless networks. In dense networks where interference emerges as the key capacity-limiting factor, multi-cell cooperation can dramatically improve the system performance. Remarkably, such techniques literally exploit inter-cell interference by allowing the user data to be jointly processed by several interfering base stations, thus mimicking the benefits of a large virtual MIMO array. Multicell MIMO cooperation concepts are examined from different perspectives, including an examination of the fundamental information-theoretic limits, a review of the coding and signal processing algorithmic developments, and, going beyond that, consideration of very practical issues related to scalability and system-level integration. A few promising and quite fundamental research avenues are also suggested.