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Predictive Prefetching of Context-Aware Information in Mobile Networks

机译:移动网络中的上下文感知信息的预测预测

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摘要

This paper presents a mobility prediction method for context-aware service in mobile networks. It aims to reduce the latency time to get the refreshed information appropriated to the current location of mobile users. The proposed method is to effectively limit the prefetched information into the most next location context. It makes use of the mobile reference count and the residence time that stands for the mobile user’s visiting characteristics in any cell area. Then it also considers the information usability in order to further predict the prefetching candidates. In the numerical results, the proposed method is less latency time than that of the previous schemes to prefetch information matched to user’s current location.
机译:本文介绍了移动网络中的上下文感知服务的移动预测方法。它旨在减少延迟时间,以获得拨入移动用户当前位置的刷新信息。所提出的方法是有效地将预取信息限制为下一个位置上下文。它利用移动参考数量和居住时间代表移动用户在任何小区区域中的访问特征。然后它还考虑信息可用性,以进一步预测预取候选人。在数值结果中,所提出的方法的延迟时间较小,而前提是预取信息与用户当前位置匹配的方案。

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