Dynamic Optimization of Handover Parameters Adjustment for Conflict Avoidance in Long Term Evolution  

LTE中关于冲突避免的切换参数动态优化(英文)

作　　者：李云 李曼 曹傧 王勇 刘文晶 

机构地区：[1]Chongqing Key Laboratory of Mobile Communications Technology, Chongqing University of Post and Telecommunications [2]National Mobile Communications Research Laboratory, Southeast University of China [3]School of Communication and Information Engineering, University of Electronic Science and Technology of China

出　　处：《China Communications》2013年第1期56-71,共16页中国通信（英文版）

基　　金：supported by the National Natural Science Foundation of China under Grant No.61071118;the National Basic Research Program of China(973 Program)under Grant No.2012CB316004;Special Fund of Chongqing Key Laboratory(CSTC);Chongqing Municipal Education Commission’s Science and Technology Research Project under Grant No.KJ111506

摘　　要：In order to achieve dynamical optimization of mobility load balancing,we analyze the conflict between mobility load balancing and mobility robustness optimization caused by the improper operation of handover parameters.To this end,a method of Handover Parameters Adjustment for Conflict Avoidance(HPACA)is proposed.Considering the movement of users,HPCAC can dynamically adjust handover range to optimize the mobility load balancing.The movement of users is an important factor of handover,which has a dramatic impact on system performance.The numerical evaluation results show the proposed approach outperforms the existing method in terms of throughput,call blocking ratio,load balancing index,radio link failure ratio,ping-pong handover ratio and call dropping ratio.In order to achieve dynamical op- timization of mobility load balancing, we analyze the conflict between mobility load balancing and mobility robustness optimiza- tion caused by the improper operation of handover parameters. To this end, a method of Handover Parameters Adjustment for Conflict Avoidance （HPACA） is proposed. Considering the movement of users, HPCAC can dynami- cally adjust handover range to optimize the mobility load balancing. The movement of users is an important factor of handover, which has a dramatic impact on system per- formance. The numerical evaluation results show the proposed approach outperforms the existing method in terms of throughput, call blocking ratio, load balancing index, radio link failure ratio, ping-pong handover ratio and call dropping ratio.

关 键 词：Long Term Evolution self-organizing network dynamically adjusting handover range time to trigger hysteresisparameter 

分 类 号：TN929.5[电子电信—通信与信息系统]