Multi-target online learning wireless caching method based on super Pareto principle

Abstract

The invention discloses a multi-target online learning wireless caching method based on a super Pareto principle, belongs to the field of mobile communication, and mainly relates to a method that a base station caches contents required by nearby users in advance from a content provider in wireless network leisure time and gives consideration to profits of the content provider at the same time in mobile communication. According to the method, inheritance and development of a standard UCB single-target method are achieved, and the multi-target optimization problem in the wireless cache can be solved through the improved method, that is, file flow maximization on a backhaul link is unloaded in advance in the communication leisure time period, and meanwhile profit maximization of file unloading can also be considered. The method is simple, and the algorithm complexity is the logarithmic function level. Moreover, the revenue of the content provider is also considered while the core target of the wireless cache is preferentially considered, namely, the revenue is specifically expressed on the importance of the file value. According to the method, multiple targets are considered, and the requirements of a wireless communication transceiver can be well met.

Description

technical field [0001] The invention belongs to the field of mobile communication, and mainly relates to a method in which a base station in mobile communication buffers content required by nearby users in advance from a content provider when the wireless network is idle, and at the same time takes into account the content provider's profit. Background technique [0002] In recent years, with the gradual popularization of mobile devices with multimedia functions (such as smart phones, tablet computers, etc.), new wireless service applications have also emerged in large numbers, such as iQiyi, Youku, Taobao, Weibo, etc. This makes the function of wireless mobile communication permeate from the initial call to entertainment, office, social areas and other fields. At the same time, this has also contributed to the rapid growth of data traffic in wireless networks. [0003] The explosive growth of mobile data traffic is a huge burden on the existing cellular network infrastruct...

AI Technical Summary

Problems solved by technology

[0006] However, this caching scheme based on estimated popularity cannot be adopted in the actual system

Images