摘要
针对无线供能边缘计算网络,提出了一种兼顾边缘服务器有限计算能力的系统计算能效最大化资源分配方法。具体而言,通过联合优化边缘服务器和用户的计算频率与时间、边缘用户的发射功率与卸载时间、能量收集时间、本地计算时间及专用能量站的发射功率来建立一个系统计算能效最大化的优化问题。由于所建立的问题是一个高度非凸的分式规划问题且难以求解,因此首先通过引入广义分式规划理论将原问题转化为一个减式非凸问题,然后利用一系列辅助变量将其转化为一个等价的凸问题,并据此提出一种迭代算法来获取原问题的最优解。仿真结果验证了所提迭代算法的快速收敛性,并通过与其他方案进行比较,证明了所提的资源分配方案能够取得更高的系统计算能效。
For wireless powered mobile edge computing(MEC)network,a system computation energy efficiency(CEE)maximization scheme by considering the limited computation capacity at the MEC server side was proposed.Specifically,a CEE maximization optimization problem was formulated by jointly optimizing the computing frequencies and execution time of the MEC server and the edge user(EU),the transmit power and offloading time of each EU,the energy harvesting time and the transmit power of the power beacon.Since the formulated optimization problem was a non-convex fractional optimization problem and hard to solve,the formulated problem was firstly transformed into a non-convex subtraction problem by means of the generalized fractional programming theory and then transform the subtraction problem into an equivalent convex problem by introducing a series of auxiliary variables.On this basis,an iterative algorithm to obtain the optimal solutions was proposed.Simulation results verify the fast convergence of the proposed algorithm and show that the proposed resource allocation scheme can achieve a higher CEE by comparing with other schemes.
作者
施丽琴
叶迎晖
卢光跃
SHI Liqin;YE Yinghui;LU Guangyue(Shaanxi Key Laboratory of Information Communication Network and Security,Xi’an University of Posts&Telecommunications,Xi’an 710121,China)
出处
《通信学报》
EI
CSCD
北大核心
2020年第10期59-69,共11页
Journal on Communications
基金
陕西省重点科技创新团队计划基金资助项目(No.2017KCT-30-02)
国家自然科学基金资助项目(No.61901367)
陕西省自然科学基金资助项目(No.2020JQ-844)。
关键词
计算能效
边缘计算
无线能量传输
computation energy efficiency
edge computing
wireless power transfer
