A self-optimization method for coverage-capacity optimization in OFDMA networks with MIMO

  • Authors:
  • Richard Combes;Zwi Altman;Eitan Altman

  • Affiliations:
  • France Telecom Research and Development, Issy-les-Moulineaux;France Telecom Research and Development, Issy-les-Moulineaux;INRIA Sophia Antipolis, Sophia Antipolis, France

  • Venue:
  • Proceedings of the 5th International ICST Conference on Performance Evaluation Methodologies and Tools
  • Year:
  • 2011

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Abstract

Self-organizing networks (SON) is currently seen as a key lever to improve network performance and simplify its management. This paper considers α-fair schedulers in an Orthogonal Frequency-Division Multiple Access (OFDMA) network. The convergence of the α-fair scheduler is analyzed. Closed-form formulas are given for certain cases to calculate the scheduling gain, as well as a Monte-Carlo method, for a MIMO channel. A capacity-coverage algorithm based on the α-fair schedulers using observable Key Performance Indicators (KPIs) is proposed. The algorithm is implemented in a large scale network simulator. It is shown that notable coverage gains are achieved at the expense of very small capacity losses.