{"title":"Outage Performance of MEC Systems With Joint User Scheduling and Access Point Selection","authors":"Jun Chang;Bailing Chen;Ding Xu","doi":"10.1109/LWC.2024.3446181","DOIUrl":null,"url":null,"abstract":"The advent of mobile edge computing (MEC) has effectively resolved the challenges associated with computation-intensive applications. In this letter, we investigate a multi-user MEC system with multiple computational access points (CAPs) in the presence of an eavesdropper. In contrast to existing works that only considered user scheduling or CAP selection, we propose a joint user scheduling and CAP selection policy, and derive the system outage probability under the proposed policy in closed form. Simulations are provided to validate the correctness of the theoretical analysis and demonstrate the effectiveness of the proposed policy. The results confirm that the proposed joint user scheduling and CAP selection policy outperforms various existing policies that independently consider user scheduling and CAP selection.","PeriodicalId":13343,"journal":{"name":"IEEE Wireless Communications Letters","volume":"13 10","pages":"2792-2796"},"PeriodicalIF":4.6000,"publicationDate":"2024-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Wireless Communications Letters","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10640138/","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
The advent of mobile edge computing (MEC) has effectively resolved the challenges associated with computation-intensive applications. In this letter, we investigate a multi-user MEC system with multiple computational access points (CAPs) in the presence of an eavesdropper. In contrast to existing works that only considered user scheduling or CAP selection, we propose a joint user scheduling and CAP selection policy, and derive the system outage probability under the proposed policy in closed form. Simulations are provided to validate the correctness of the theoretical analysis and demonstrate the effectiveness of the proposed policy. The results confirm that the proposed joint user scheduling and CAP selection policy outperforms various existing policies that independently consider user scheduling and CAP selection.
移动边缘计算(MEC)的出现有效地解决了计算密集型应用所面临的挑战。在这封信中,我们研究了在存在窃听者的情况下具有多个计算接入点(CAP)的多用户 MEC 系统。与只考虑用户调度或 CAP 选择的现有研究相比,我们提出了一种联合用户调度和 CAP 选择策略,并以闭合形式推导出了所提策略下的系统中断概率。仿真验证了理论分析的正确性,并证明了所提策略的有效性。结果证实,所提出的用户调度和 CAP 选择联合策略优于独立考虑用户调度和 CAP 选择的各种现有策略。
期刊介绍:
IEEE Wireless Communications Letters publishes short papers in a rapid publication cycle on advances in the state-of-the-art of wireless communications. Both theoretical contributions (including new techniques, concepts, and analyses) and practical contributions (including system experiments and prototypes, and new applications) are encouraged. This journal focuses on the physical layer and the link layer of wireless communication systems.