User's mobility history-based mobility prediction in LTE femtocells network
User's mobility history-based mobility prediction in LTE femtocells network
复制标题
LTE femtocells 网络中基于用户移动历史的移动性预测
DOI：
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发表时间：
2013
期刊：
影响因子：
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通讯作者：
N. E. Ghazali
中科院分区：
文献类型：
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作者：
Nurul Ain Amirrudin;S. Ariffin;N. N. N. A. Malik;N. E. Ghazali
无缝和快速切换是长期演进（LTE）在支持移动性和维持用户服务质量方面的主要目标之一。移动性预测是在无线网络中预先识别未来目标基站，以减少切换延迟，并最终提高切换性能的技术。在本文中，移动性预测通过马尔可夫链与用户的移动历史的输入，提出了作为一种技术来预测用户的移动在毫微微蜂窝部署。结果表明，我们所提出的方法预测更好的随机数据是50%及以上相比，现有的方法。同时分析了基站不可用对预测精度的影响。通过分析发现，在一定的时间内，数据库收集数据的时间长短会影响预测精度。
Seamless and fast handover is one of main goals in Long Term Evolution (LTE) in supporting mobility and maintaining user's quality of services. Mobility prediction is a technique to identify future targeted base station in advance, to reduce handover latency, and finally to enhance handover performance in wireless networks. In this paper, mobility prediction via Markov Chains with an input of user's mobility history is proposed as a technique to predict the user's movement in femtocells deployment. The results show that our proposed method predicts better when random data is 50% and above compared to the existing method. We had also analysed the effect of unavailable base station to the accuracy of the prediction in our proposed method. From the analysis, it is found that, the length of time collecting the data for the database effect the prediction accuracy in certain duration.