Mobility-Aware Resource Allocation Based on Matching Theory in MEC

被引：2
作者：
Niu, Bin [1 ]
Liu, Wei [1 ]
Ma, Yinghong [1 ]
Han, Yue [2 ]
机构：
[1] Xidian Univ, State Key Labs ISN, Xian 710071, Peoples R China
[2] Natl Univ Def Technol, Coll Informat & Commun, Xian 710106, Peoples R China
来源：
SIMULATION TOOLS AND TECHNIQUES, SIMUTOOLS 2021 | 2022年 / 424卷
基金：
中国国家自然科学基金;
关键词：
MEC; Mobility; Resource allocation; Matching theory; SERVICE MIGRATION;
D O I：
10.1007/978-3-030-97124-3_7
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Mobile Edge Computing (MEC) is a technology that provides communication, computing, and storage resources at the edge of a mobile network to improve the Quality of service (Qos) for mobile users. However, the conflict between the mobility of the user and the limited coverage of the edge server may interrupt the ongoing service and cause a decrease in the quality of the service. In this context, we jointly formulate service migration and resource allocation in MEC by considering user mobility, service migration, communication and computing resources in the edge server to minimize the total service delay. Then we propose a matching algorithm that takes into account the selection preferences of users and Edge servers, and effectively solves the integer nonlinear programming problem we formulated. Finally, the simulation results prove the effectiveness of the proposed algorithm.
引用
收藏
页码：75 / 88
页数：14
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