Wireless heterogeneous network file cache updating method based on multicast

Abstract

The invention discloses a wireless heterogeneous network file cache updating method based on multicast. The method comprises the steps of 1, establishing a network topology which comprises small basestation distribution, user distribution, and distribution of connection relationships between small base stations and users; 2, establishing a current popular file set popularity distribution model; 3, establishing an energy consumption model for updating files in a multicast mode; 4, inferring a target function and a limiting condition for maximizing a system cache hit rate, and establishing an optimization model; 5, converting an optimization problem into a multi-choice knapsack problem, and carrying out solution to obtain cache file updating schemes of all small base stations; 6, sending afile to the small base stations in a multicast mode; and 7, periodically carrying out cache updating on all small base stations in the system through adoption of the steps 2-6 when a popular file setis changed. According to the method provided by the invention, popular files can be reasonably updated to different small base stations, so the possibility of directly obtaining video data from the small base stations by the users is improved, and the data of a network backhaul link is reduced.

Description

technical field [0001] The invention belongs to the field of network technology, and in particular relates to a multicast-based wireless heterogeneous network file cache update method. Background technique [0002] In recent years, with the development of 4G networks and the popularization of smart mobile terminal devices, mobile network traffic has shown an explosive growth trend, of which video traffic occupies a large part. According to the white paper report released by Cisco in 2016, mobile network traffic will grow exponentially in the next few years, and will exceed the 49EB mark in 2021. Among them, the proportion of online video traffic is also expanding. By 2021, this part of mobile traffic is expected to increase from the current 60% to about 78%. [0003] The explosive growth of network traffic will bring the following problems: (1) network link congestion, high packet loss rate, and reduced user network speed experience; (2) too many file requests make the base...

AI Technical Summary

Problems solved by technology

[0003] The explosive growth of network traffic will bring the following problems: (1) network link congestion, high packet loss rate, and reduced user network speed experience; (2) too many file requests make the base station overloaded and easy to crash

At present, some work focused on caching video files in small base stations is mainly focused on how to cache and place popular video files under the existing caching architecture, but how to update

Images