面向数据卸载的5G分布式缓存优化研究

Optimization of 5G Distributed Caching Algorithm for Data Offloading

为了提高5G网络的服务质量,设计了一个分布式的缓存优化算法。首先,以实现网络总成本最小化为目标,建立联合优化的数学规划问题。然后,基于数学分解的方法,将联合优化问题分解为缓存和路由两个子问题,并设计分布式算法进行求解。最后,采用仿真实验验证本优化算法的性能。实验结果表明,与现有的方法相比,本算法能够获得更好的性能。

In order to improve the service quality of 5G network,this paper designs a distributed cache optimization algorithm.First of all,with the goal of minimizing the total network cost,a mathematical programming problem of joint optimization is established.Then,based on the mathematical decomposition method,the joint optimization problem is decomposed into two sub-problems of caching and routing,and a distributed algorithm is designed to solve it.Finally,the performance of the optimization algorithm is verified by simulation experiments.Experimental results show that compared with the existing methods,the algorithm in this paper can achieve better performance.