Base Station Cooperative Caching Method Oriented to User Priority in Dense Scenes

Abstract

The present invention proposes a user priority-oriented base station cooperative caching method in a dense scene, which mainly solves the low hit rate of user request content in the base station cache in the prior art and the high priority caused by user requests being served without differentiation The problem of users being treated unfairly. The implementation plan is: first establish a deep reinforcement learning model for base station cooperative caching according to the request information of all users and the information in the base station buffer; then conduct offline training and learning on the model to obtain a learned deep reinforcement learning model; finally use The learned deep reinforcement learning model performs online base station cooperative caching decision at the macro base station. The invention not only increases the hit rate of the user's request content in the base station buffer, but also provides differentiated services to users with different priorities, which can not only meet the Internet access requirements of different users, but also bring more benefits to operators. Great benefits can be used for user access to resources in wireless networks.

Description

technical field [0001] The invention belongs to the technical field of communication, and in particular relates to a base station cooperative buffering method, which can be used for users to access resources in a wireless network. Background technique [0002] With the development of mobile communication network technology and various intelligent mobile terminal devices, all aspects of people's life and work are more and more closely connected with the Internet. In this era, people need to meet their needs through wireless networks all the time, which leads to the explosive growth of data volume in wireless networks. [0003] In recent years, with the rise of social and entertainment software, users have more and more requests for voice and video, and more and more frequently. The data volume of voice and video is much larger than the data volume of text, so when these audio and video data are transmitted in the wireless network, a lot of resources will be consumed. A larg...

AI Technical Summary

Problems solved by technology

[0004] However, there are the following problems in deploying buffers at the base stations of the wireless network: 1) The buffer capacity of a single base station is limited, so that the hit rate of the base station buffers is not high; 2) Independent storage between base station buffers will cause adjacent base stations A large amount of redundant data is stored in the buffer unit

Therefore, if the user’s priority is not considered, high-paying and low-paying users will be served indiscriminately, which will make high-paying users feel unfair, causing them to no longer purchase high-paying network packages provided by operators, and then loss of operator's profits

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