An edge cooperation cache optimization method based on user mobility prediction

Abstract

The invention discloses an edge cooperation cache optimization method based on user mobility prediction, and the method comprises the following steps: 1, building a Markov prediction model according to the movement track of a user, and obtaining the probability that the user moves to each micro-cell base station; 2, grouping all the micro-cellular base stations in the network by using a hierarchical clustering algorithm, wherein the micro-cellular base stations in each group are connected to the same service gateway; And step 3, considering the file popularity distribution, and adopting a distributed cooperative caching method in all the micro-cellular base station groups based on the movement probability of the user, and enabling the micro-cellular base stations in the same micro-cellularbase station group to jointly execute a caching decision and cooperate to provide service for the user. The method has the advantages that the movement probability and the file popularity of the userare considered, the method that cooperative caching is adopted in each group of the base station is provided, the utilization rate of a caching unit is improved, and the time delay of user access content is reduced.

Description

technical field [0001] The invention relates to the technical field of edge caching in 5G ultra-dense networks, in particular to an edge cooperative caching optimization method based on user mobility prediction. Background technique [0002] The surge of mobile data traffic has a profound impact on 5G communication delay and system performance. Only by increasing base station density to improve network capacity and user experience will face excessive cost problems and cannot keep up with the speed of data growth. Base station The load pressure has not been effectively improved. At the same time, the deployment of ultra-dense base stations will also bring huge energy consumption. From the perspective of mobile users, it is not enough to increase network capacity to ensure mobile users' quality of experience in Internet content access. In recent years, edge caching technology has attracted much attention as a means to solve the explosive growth of data in today's network. T...

AI Technical Summary

Problems solved by technology

[0003] In the existing caching schemes, most of them do not consider user mobility and collaboration between SBSs, and even less consider the impact of user mobility on SBS collaborative caching, resulting in low utilization of cache space and poor content access by users. time extension

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