Abstract
A major challenge to the successful operation and maintainability of LTE-A network is to address competing objectives such as improved capacity, reduced operational costs and complexity. In this paper we use a surrogate function to model the functional relationships between noisy Key Performance Indicators (KPIs) and Radio Resource Management (RRM) parameters and subsequently use a pattern search algorithm for optimization under constraints. The proposed methodology is applied to solve a self-optimization problem for eICIC in an LTE-A HetNet deployment. Results obtained using a system level simulator show promising results for faster convergence towards optimal network configuration.
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