The Network Selection Strategy for Connected Vehicles Based on Mobile Edge Computing

With the continuous development of wireless communication technology and vehicle intelligence technology, in the new vehicle network, new applications such as autonomous driving, high-precision map distribution and sensor information transmission have put forward high requirements for network bandwidth, delay and reliability. However, the traditional single network and cloud computing center processing mode can not meet the service needs of vehicle applications. Edge computing technology avoids the delay problem of core network congestion by placing some computing capacity on the edge of network. Under the background of coexistence and integration of various types of wireless access networks, it is an effective solution and a hot issue to make the most efficient use of the communication resources of the whole network while making good service for vehicle users through network selection strategy. This paper analyzes the network selection scenarios under multi-user vehicles, and establishes the utility function of vehicle users and wireless networks respectively from the respective interests of vehicle users and wireless networks, and uses the idea of matching game to connect users to the network. The simulation results show that the strategy can meet the requirements of low blocking rate and high satisfaction of both users.