File copy caching method based on base station clustering

Abstract

The invention discloses a file copy caching method based on base station clustering, and the method comprises the following steps: 1, carrying out the clustering of base stations in an ultra-dense heterogeneous network according to the magnitude of the interference intensity caused by the base stations on a signal received by a user, and enabling the interference intensity caused by the clusteredbase stations on a visit user to be minimum; 2, deploying and caching file copies to be accessed by each base station in a cluster on the basis of a clustering result through analysis of base stationcache content similarity. The method has the advantages that the method gives consideration to the interference between the base stations and the similarity of the user access files, and the method for placing the file copies based on base station clustering and according to the similarity; the hit rate of the user access content is increased, the time delay of requesting the access content by theuser is reduced, and the service quality is improved.

Description

technical field [0001] The invention relates to the technical field of edge caching in 5G ultra-dense heterogeneous networks, and in particular to a file copy caching method based on base station clustering. Background technique [0002] In recent years, with the rapid development of 5G technology and the Internet of Things, the number of network edge devices and mobile terminals has increased sharply. The technology centered on cloud computing can no longer meet people's requirements for data acquisition speed, and edge computing technology has emerged as the times require. Among them, edge caching technology plays an important role. Edge caching refers to storing data on network edge devices. The basic idea is to store and transmit data files on devices close to the data source. As one of the key technologies of the fifth-generation mobile communication system, the ultra-dense network can be deployed on a large scale in hotspot areas to meet the increasing demand for data ...

AI Technical Summary

Problems solved by technology

On the one hand, the dense deployment of small base stations can increase the network data throughput and ease the access pressure on the server side; on the other hand, it can store the copies of the hotspot data settings on the server side in the base station, and these copies are the copies of the required file data. Setting up copies can provide users with the required files more quickly, but with different geographical distributions of base stations, the number and location of copies are also different. In order to allow users to obtain file information directly from the base station as much as possible, the specific Relevant research is required for setting; at the same time, with the dense deployment of small base stations, there will be obvious impacts, such as the same-layer interference between small base stations and cross-layer interference between small base stations and macro base stations. Signal interference, which will affect the user's communication quality

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