A User Mobility Prediction Method to Reduce Unnecessary Handover for Ultra Dense Network

Next generation wireless cellular networks will be ultra dense network(UDN) to increase system capacity through spatial reuse in a hot spot, but with the cost of increasing handover and delay for mobile users. In this paper, we try to find a solution to reduce unnecessary handover(UHO). The main contribution of this paper is that a user mobility prediction method based on Lagrange Interpolation is proposed and the transition probability of user equipment to its neighboring femtocells can be evaluated according to the slope of the trajectory polynomial and velocity. Then power offset of base station is achieved through prediction to avoid UHO. Simulations show that the proposed method can get 75%~90% prediction accuracy and decrease 17%~30% handover compared with traditional LTE handover method.