Physical Layer Security Assisted Multi-Access Edge Task Offloading in C-V2X System

The appearance of autonomous vehicle prompts the development of multi-access edge computing. In cellular vehicle-to-everything (C-V2X) system, autonomous vehicle can offload complicated tasks to multi-access edge server (MES) due to the shortage of computation resource. However, because of eavesdroppers, there exists security problem in wireless communication between vehicles and MES. Except for security problem, autonomous vehicle also casts stringent requirements on latency and energy consumption for task offloading, which motivates plenty of scholars to study. Most of the existing studies cover one or two dimensions of aforementioned three problems, which limits their practicability. Therefore, we put forward a multi-access edge task offloading scheme with carefully considering information security, offloading latency and energy consumption. To solve the security problem at physical layer, small-cell base station proactively sends artificial noises to degrade the decoding ability of wiretappers. On the premise of secure wireless communication, the optimal task offloading proportion is calculated through one dimension search algorithm in the scheme, which ensures the minimum weighted sum of offloading latency and energy consumption. Numerical results validate the feasibility and effectiveness of the proposed scheme.