移动边缘计算中基于用户体验的计算卸载方案  

Computing Offloading Scheme Based on User Experience in Mobile Edge Computing

作　　者：杨天 田霖 孙茜[2,3] 张宗帅 王园园[2,3] YANG Tian;TIAN Lin;SUN Qian;ZHANG Zongshuai;WANG Yuanyuan(College of Communication and Information Engineering,Chongqing University of Posts and Telecommunications,Chongqing 400065,China;Wireless Communication Technology Research Center,Institute of Computing Technology,Chinese Academy of Sciences,Beijing 100190,China;Beijing Key Laboratory of Mobile Computing and Pervasive Device,Institute of Computing Technology,Chinese Academy of Sciences,Beijing 100190,China)

机构地区：[1]重庆邮电大学通信与信息工程学院,重庆400065 [2]中国科学院计算技术研究所,无线通信技术研究中心,北京100190 [3]中国科学院计算技术研究所,移动计算与新型终端北京市重点实验室,北京100190

出　　处：《计算机工程》2020年第10期33-40,共8页Computer Engineering

基　　金：北京市自然科学基金(L172049)。

摘　　要：现有的移动边缘计算卸载方案多采用预先统一设置的方式确定权重因子,难以满足用户对时延和能耗的差异化需求。针对该问题,提出一种基于用户体验的计算卸载方案。将计算卸载问题定义为效用最大化问题,以任务执行时延和能耗增益率的加权和表示用户效用,同时考虑用户设备的续航能力,构造基于用户需求的自适应权重因子。在此基础上,将原优化问题拆分为资源分配和卸载决策两个子问题分别进行求解,得到最终的计算卸载策略。仿真结果表明,相比于固定权重因子的卸载方案,该方案能够满足用户的差异化需求,有效提升用户体验。Most of the existing computing offloading schemes in Mobile Edge Computing(MEC)pre-set unified weight factors,which fail to meet the different requirements of users for delay and energy consumption.To address the problem,this paper proposes a computing offloading scheme based on user experience.The scheme defines the computing offloading problem as a utility maximization problem,and the user utility is represented by the weighted sum of task execution delay and the gain rate of energy consumption.Meanwhile,the scheme considers the battery life of the user’s device,and constructs the adaptive weight factor based on the user demand.On this basis,the original optimization problem is divided into two sub-problems of resource allocation and offloading decision,which are solved respectively to obtain the final computing offloading strategy.Simulation results show that compared with the offloading schemes with fixed weighting factors,this proposed scheme can meet different requirements of users and effectively improve the user experience.

关 键 词：移动边缘计算 用户体验 计算卸载 资源分配 混合整数非线性规划问题 

分 类 号：TN929.5[电子电信—通信与信息系统]