Poster: Enhanced mobility state estimation in heterogeneous networks

The use of combining pico cell and macro cell, also known as heterogeneous networks (HetNets), is considered as a promising way to solve the limit of system capacity and complement coverage in traditional network HetNets which have changed the infrastructure of traditional cellular networks also bring challenges correspondingly. Mobility management for pico cells is challenging due to different cell size and random deployment, and an enhanced mobility state estimation is desired. In this paper, we propose a self-optimization algorithm for mobility state estimation. The enhancement adapts the weight automatically based on handover performance to weaken the cell crossing counting for pico cells in different network topologies. The simulation results will show the improvements in mobility state estimation (MSE).