Cache method based on small base station self-organization cooperation in super-dense network

Abstract

The present invention provides a cache method based on small base station self-organization cooperation in a super-dense network, belonging to the technical field of wireless communication. The methodcomprises the steps of: according to the load capacities and the positions of small base stations in a super-dense network, obtaining a similarity matrix of the small base station; according to the similarity matrix and the quantity k of the small base stations in each cluster, performing clustering, and selecting a small base stations with the best load capacity as a cluster head; according to afile cache strategy, caching the file into the small base station and a macro station; after users access the base stations, requesting to obtain a file; and finally, determining the value of the k exceeds the maximum value k set in the cluster or not, if yes, outputting a k value with the minimum average download delay of the user; or else, continuously updating the k value, and continuously performing re-clustering. Through the self-organization thought, the resources in the cluster are distributed, and the mutual cooperation and self organization between the small base stations are employed to reduce the user download delay while effectively improving the cache hit ratio and meet the business demands.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and in particular relates to a caching method based on ad hoc cooperation of small base stations in an ultra-dense network. Background technique [0002] Ultra-dense networking, that is, ultra-dense network UDN technology, can achieve a huge improvement in frequency reuse efficiency through the dense deployment of small base stations (SBS), and is one of the key technologies to meet the demand for 5G capacity growth of a thousand times. Ultra-dense network UDN is considered to be one of the key technologies to meet user needs and improve system capacity. UDN usually contains a large number of low-power small base stations SBSs and the deployment density is much higher than the current mobile network scenarios, which can provide users with extremely high data transmission rates. At the same time, introducing caching technology into ultra-dense networks, network edge caching has att...

AI Technical Summary

Problems solved by technology

[0004] In ultra-dense scenarios, the existing technology mainly optimizes the cache content around a single base station, and does not fully consider the mutual cooperation and self-organization among small base stations. How to efficiently serve users under the condition that the cache capacity of a single SBS is very limited Provide services and reduce user download delays. Considering these issues can further improve the cache hit rate and user experience

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