A user priority-oriented base station collaborative caching method in a dense scene

Abstract

The invention provides a user priority-oriented base station collaborative caching method in a dense scene. The method mainly solves the problems that the hit rate of user request content in a base station cache is low and high-priority users are unfairly processed due to the fact that user requests are not differentially served in the prior art. According to the implementation scheme, the methodcomprises the following steps: firstly, establishing a deep reinforcement learning model of base station collaborative caching according to request information of all users and information in a base station buffer; performing offline training and learning on the model to obtain a learned deep reinforcement learning model; and finally, carrying out online base station collaborative cache decision at the macro base station by using the learned deep reinforcement learning model. According to the method, the hit rate of the request content of the user in the base station buffer is increased, differentiated services can be provided for the users with different priorities, the internet surfing requirements of the different users can be met, greater benefits can be brought to operators, and the method can be used for accessing resources by the users in a wireless network.

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

Images