A Data Selective Caching Method Based on Cooperative Caching

Abstract

The present invention relates to a data selective caching method based on cooperative caching, which includes the following steps: Step S1, when the current user receives a request for each data from an adjacent user, or receives each data from an adjacent user or a base station, record and update The number of requests for each data; step S2, the current user predicts the probability that each data will be requested in the future according to the number of requests for each data, so as to obtain the predicted probability of each data; step S3, the current user asks and collects neighboring users before caching each data The memory cache situation of the user, combined with the size of each data and the prediction probability of each data, defines the value of each data; and step S4, if the current user's memory is not full, cache the received data, otherwise, according to the size of each data As well as the value of each data, a greedy algorithm is used to determine whether to cache the received data to replace the original data in the memory. The invention efficiently utilizes the limited memory capacity of the terminal, and realizes the maximum cellular traffic unloading.

Description

technical field [0001] The invention relates to wireless communication technology, in particular to a data selective caching method based on cooperative caching. Background technique [0002] In recent years, with the increasing popularity of media services such as high-definition video, its high-traffic characteristics have led to an increasing shortage of spectrum resources, which has also brought enormous pressure on the core network of operators. With the rapid popularization of ultra-high-definition streaming video and various mobile smart terminal devices, the vast majority of data traffic will shift from fixed networks to wireless networks. According to the data released by the market research organization Juniper Research, by 2021, it is estimated that more than 90% of people will mainly obtain digital media information through mobile devices throughout the year, and smartphones and tablets will gradually replace personal computers and become the most important compu...

AI Technical Summary

Problems solved by technology

However, in this technology, users make their own caching choices independently, regardless of other people’s caching data, and it is easy to cause multiple users to cache the same hot data, which is localized

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