基于数据队列稳定的无线资源优化

Optimization of Radio Resource Allocation Based on Data Queue Stability

通过充分利用云计算和边缘雾计算,无线接入网络能够为不同应用业务提供差异化的服务。在无线接入网络的下行数据传输场景中利用第五代移动通信系统(5th Generation Mobile Communication System,5G)网络切片技术,研究为不同切片分配无线资源,包括高速率切片和低时延切片。考虑不同的服务质量需求,构建一个多目标优化问题。线性加权求和方法将该问题转换为单目标优化问题。利用李雅普诺夫优化方法将其构建为偏差加罚函数最小化问题,并可以分解为2个子问题,分别由加权最小均方误差方法和拉格朗日对偶分解方法求解。仿真结果表明,网络效用与时延之间存在折中关系,当选择合适的控制参数取值时,可以得到队列时延降低34.5%或平均加权效用提高6.5%的结果。

By fully leveraging cloud computing and edge fog computing,wireless access network can provide differentiated services for different applications.The 5th Generation Mobile Communication System(5G)network slicing technology is used in the downlink data transmission scenario of wireless access network,in order to study the allocation of wireless resources for different slices,including high-rate slices and low-latency slices.Considering different service quality requirements,a multi-objective optimization problem is established first.Then,the problem is converted into a single-objective optimization problem by the linear weighted sum method.Then,the Lyapunov optimization method is used to make it a deviation penalty function minimization problem,which can be decomposed into two sub-problems that are respectively solved by the weighted minimum mean square error method and the Lagrange dual decomposition method.The simulation results show that there is a trade-off relationship between the network utility and latency,and that queue delay can be reduced by 34.5%or average weighted utility can be improved by 6.5%when choosing appropriate control parameter values.