摘要
针对3GPP LTE系统中因频繁切换而导致的系统吞吐量降低的问题,提出了基于用户运动机制及其方向改变概率的预测模型,并将其与标准的长期演进(LTE)切换算法相结合。模型使用方向改变概率计算各个可能位置的接收信号强度的权重,再求和得到预测的接收信号强度。经过仿真对比,使用结合位置预测的切换算法后,切换次数没有明显变化,但系统吞吐量有所提高。相比于传统的数据挖掘预测模型,提出的预测模型效果更好。
Concerning the problem of the decline of 3GPP Long Term Evolution（LTE） system throughput caused by the frequent handover,a location prediction model based on user movement mechanism and changing probability of direction was proposed.The proposed model was combined with the standard handover algorithm of LTE.The model calculated the weight of each possible location using the changing probability of direction,then got the predicted received signal strength through summing.The simulation results show that the number of handover does not change obviously,but the system throughput is improved after using the combined algorithm.In addition,the proposed model is better than the traditional data mining prediction model.
出处
《计算机应用》
CSCD
北大核心
2012年第7期1849-1851,1863,共4页
journal of Computer Applications
关键词
长期演进
位置预测
切换算法
Long Term Evolution（LTE）
location prediction
handover algorithm
