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Self-Organizing Mobility Robustness Optimization in LTE Networks with eICIC

We address the problem of Mobility Robustness Optimization (MRO) and describe centralized Self Organizing Network (SON) solutions that can optimize connected-mode mobility Key Performance Indicators (KPIs). Our solution extends the earlier work of eICIC parameter optimization [7], to heterogeneous networks with mobility, and outline methods of progressive complexity that optimize the Retaining/Offloading Bias which are macro/pico views of Cell Individual Offset parameters. Simulation results under real LTE network deployment assumptions of a US metropolitan area demonstrate the effects of such solutions on the mobility KPIs. To our knowledge, this solution is the first that demonstrates the joint optimization of eICIC and MRO.