Research Article
A Combined Prediction Handover Algorithm with Mobility history in Heterogeneous networks
@INPROCEEDINGS{10.4108/icst.chinacom.2014.256244, author={Zhang Jin and Niu Kai and He Zhiqiang and Tian Baoyu}, title={A Combined Prediction Handover Algorithm with Mobility history in Heterogeneous networks}, proceedings={9th International Conference on Communications and Networking in China}, publisher={IEEE}, proceedings_a={CHINACOM}, year={2015}, month={1}, keywords={prediction handover; combined algorithm; hetnet}, doi={10.4108/icst.chinacom.2014.256244} }- Zhang Jin
Niu Kai
He Zhiqiang
Tian Baoyu
Year: 2015
A Combined Prediction Handover Algorithm with Mobility history in Heterogeneous networks
CHINACOM
IEEE
DOI: 10.4108/icst.chinacom.2014.256244
Abstract
Prediction handover based on user mobility is one of the most efficient strategies to reduce the handover error ratio and future implement the fast and seamless handover in Heterogeneous networks (HetNet). There have been extensive studies on the prediction handover algorithms and Layer 3(L3) prediction model is widely applied. Based on that model, this paper proposes a combined prediction handover algorithm with mobility history in HetNet scenario. In this method, UE's history movement measurements were decomposed into trend part and non-trend part, the two parts were predicted by AR model and fuzzy neural network (FNN) respectively to improve the prediction accuracy. Simulation results show the effectiveness of the proposed method, which can increase the accuracy of prediction handover target and decrease the handover prediction error ratio.