Tiny cell cache device allocation algorithm based on user mobility

Abstract

The invention discloses a tiny cell cache device allocation algorithm based on user mobility and belongs to the field of wireless communication. The method comprises the following steps: performing data set analysis on a long-term user group mobility track at an initialization phase, and dividing system time of a user mobility track data set into discrete time slots according to certain time intervals; enabling the user to request a file once in each time slot, and calculating the total cache hit rate; converting a cache allocation problem into an integer programming problem; searching an optimal solution of the initial allocation problem of cache device capacity in a solution space by using a genetic-annealing algorithm, wherein the optional solution comprises specially optimized design operations such as an a fitness function, a selection operation and an interlace operation; and outputting the allocation of device files among tiny cell base stations if the solution is converged, and allocating the cache device among the tiny cell base stations according to the allocation, thereby obtaining the optimal cache device allocation scheme. Therefore, the cache hit rate performance of users is improved, and the device installation cost is effectively saved.

Description

technical field [0001] The invention belongs to the field of wireless communication, in particular to a user mobility-based allocation algorithm for small cell cache equipment. Background technique [0002] In recent years, with the rapid development of mobile networks, more and more mobile users use multiple devices to access the Internet through wireless networks. Therefore, the data traffic in mobile networks has increased significantly, increasing the pressure on backbone network data transmission. The small cell edge buffering technology has the advantage of reducing cellular traffic and backhaul link traffic, and can cope with the challenges brought by a large amount of mobile data traffic, improve network performance, and optimize user experience. [0003] Due to the dense deployment of small cell base stations in the next-generation mobile communication system, it will cause huge overhead to arrange buffer devices with sufficient capacity on all small cell base stati...

AI Technical Summary

Problems solved by technology

In addition, in an environment where small cells are densely deployed, the same user can generally access several base stations, and the complex topology makes the allocation of cache devices more complicated, which requires joint analysis based on the popularity of files

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