A caching method based on self-organized cooperation of small base stations in ultra-dense networks

Abstract

The invention proposes a caching method based on self-organized cooperation of small base stations in an ultra-dense network, belonging to the technical field of wireless communication. Including: firstly, according to the load capacity and location of small base stations in the ultra-dense network, the similarity matrix of small base stations is obtained; then, according to the similarity matrix and the number k of small base stations in each cluster, clustering is carried out, and the load capacity is selected A good small base station acts as a cluster head; cache files in the small base station and macro base station according to the file caching strategy; after the user accesses the base station, request to obtain the file; finally, judge whether the value of k exceeds the maximum value K set in the cluster , if so, output the k value that minimizes the user's average download delay; otherwise, continue to update the k value and continue to re-cluster. The present invention allocates resources in a cluster through the idea of ​​self-organization, utilizes mutual cooperation and self-organization among small base stations, effectively improves the cache hit rate, reduces user download time delay, and satisfies various service requirements.

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

Images