Mobility management optimization and conflict avoidance in self-organizing OFDMA networks

In this work, we propose a mobility management optimization framework for the networks employing full-frequency reuse. The mobility management issue is considered in the context of two main self-organizing networks (SON) functionalities, i.e mobility load balancing (MLB) and mobility robustness optimization (MRO) as a user-to-BS assignment problem. A central optimization method, which aims to maximize the load balance among the neighboring cells and minimize the HO related problems is given to solve the problem. Although the centralized optimization program forms a theoretical bound for the system capacity, it may also cause an excessive computational complexity to implement. That is why, we also propose a heuristic MRO, MLB conflict avoidance algorithm that provides a distributed solution to the same problem. Simulation results reveal the fact that proposed distributed mobility management algorithm approximates to the optimal solution significant and offers performance improvements in terms of the degrees of load balance and cell-edge throughput in comparison to the systems without mobility management and those employing conventional approaches.