| 摘要: |
| 多接入边缘计算（Multi-access Edge Computing,MEC）和无线携能通信可有效提高用户的服务质量和体验。在计算、通信和能量等资源的约束条件下，用户匹配是优化MEC任务卸载时系统效用的重要方法。针对无线携能通信的MEC网络结构，综合考虑用户的需求差异性和多元化能量供给，建立了基于计算资源、传输资源和能量资源的系统效用函数；以系统效用最大化为目标，采用基于多维背包理论的多轮拍卖，提出了一种适用于多用户和多网络边缘服务器的用户匹配算法。仿真验证了所提用户匹配算法的有效性与可靠性，结果表明所提匹配算法可优化系统资源配置，有效提高整体性能。 |
| 关键词: 无线携能通信 多接入边缘计算 用户匹配 拍卖理论 |
| DOI： |
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| 基金项目:国家自然科学基金资助项目(61601182，61771195)；河北省自然科学基金资助项目(F2017502059，F2018502047)；中央高校基本科研业务费专项资金资助项目(2019MS212) |
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| A multi-access edge computing and user matching algorithm with simultaneous wireless information and power transfer |
| CHEN Zhixiong,XIAO Nan,HAN Dongsheng |
| (Department of Electronics and Communication Engineering,North China Electric Power University,Baoding 071003,China) |
| Abstract: |
| Multi-access edge computing(MEC) and simultaneous wireless information and power transfer can effectively improve the quality of service and experience of users.Under the constraints of resources such as computing,communication and energy,user matching is an important method to optimize the system utility of MEC task offload.For the MEC network structure with simultaneous wireless information and power transfer,this paper comprehensively considers the user's demand difference and diversified energy supply,and establishes a system utility function based on computing resources,transmission resources and energy resources.In order to maximize the utility of the system,a user matching algorithm for multi-user(UE) and multi-network edge server(MEC SP) auctions based on multi-dimensional knapsack theory is proposed.Finally,the simulation verifies the validity and reliability of the proposed user matching algorithm.The results show that the proposed matching algorithm can optimize the system resource allocation and effectively improve the overall performance. |
| Key words: simultaneous wireless information and power transfer multi-access mobile edge computing user matching auction theory |
《电讯技术》编辑部 