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

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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 cr-fair schedulers in an Orthogonal Frequency-Division Multiple Access (OFDMA) network. The convergence of the cr-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 cr-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. Copyright © 2011 ICST.

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Combes, R., Altman, Z., & Altman, E. (2011). A self-optimization method for coverage-capacity optimization in OFDMA networks with MIMO. In VALUETOOLS 2011 - 5th International ICST Conference on Performance Evaluation Methodologies and Tools (pp. 37–46). ICST. https://doi.org/10.4108/icst.valuetools.2011.245615

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