A graph approach to dynamic fractional frequency reuse (FFR) in multi-cell OFDMA networks

  • Authors:

  • Ronald Y. Chang;Zhifeng Tao;Jinyun Zhang;C.-C. Jay Kuo

  • Affiliations:

  • Ming Hsieh Department of Electrical Engineering and Signal and Image Processing Institute, University of Southern California, Los Angeles, CA;Mitsubishi Electric Research Labs, Cambridge, MA;Mitsubishi Electric Research Labs, Cambridge, MA;Ming Hsieh Department of Electrical Engineering and Signal and Image Processing Institute, University of Southern California, Los Angeles, CA

  • Venue:
  • ICC'09 Proceedings of the 2009 IEEE international conference on Communications
  • Year:
  • 2009

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Abstract

A graph-based framework for dynamic fractional frequency reuse (FFR) in multi-cell OFDMA networks is proposed in this work. FFR is a promising resource allocation technique that can effectively mitigate inter-cell interference (ICI) in OFDMA networks. The proposed scheme enhances the conventional FFR by enabling adaptive spectral sharing per cell load conditions. Such adaptation has significant benefits in a practical environment where traffic load in different cells may be asymmetric and time-varying. The dynamic feature is accomplished via a graph approach in which the resource allocation problem is translated to a graph coloring problem. Specifically, in order to incorporate various versions of FFR in our framework, we construct a graph that matches the specific version of FFR and then color the graph using the corresponding graph algorithm. The performance improvement enabled by the proposed dynamic FFR scheme is further demonstrated by computer simulation for a 19-cell network with asymmetric cell load. For instance, the proposed dynamic FFR scheme can achieve a 12% and 33% gain in cell throughput and service rate over conventional FFR, and render a 70% and 107% gain in cell throughput and service rate with respect to the reuse-3 system.