Mobility-Aware Resource Allocation Based on Matching Theory in MEC

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.