SONS3: A Network Data Driven Simulation Framework for Mobility Robustness Optimization

摘要

Self-Organizing Networks (SON) aim at automation of network parameters to make the planning, configuration, management, optimization and healing of mobile radio access networks simpler and faster, and thus also more cost efficient. SON use case in this article is Mobility Robustness Optimization (MRO), which targets automatic detection and correction of handover (HO) parameterization. To this end we present novel simulation framework called Self-Organizing Simulator 3 (SonS3) that makes use of real network data to enable an accurate performance analysis of mobility related SON use cases. In addition, we present an MRO algorithm which adapts dynamically the Cell Individual Offset (CIO), and a performance analysis within a realistic urban scenario. The proposed MRO algorithm leads to an overall reduction of more than 30% in mobility problems without causing significant increase in number of HOs.