TY - GEN
T1 - Physical Layer Security Assisted Multi-Access Edge Task Offloading in C-V2X System
AU - Qin, Junman
AU - Liu, Jiajia
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85137267050&partnerID=8YFLogxK
U2 - 10.1109/ICC45855.2022.9838785
DO - 10.1109/ICC45855.2022.9838785
M3 - 会议稿件
AN - SCOPUS:85137267050
T3 - IEEE International Conference on Communications
SP - 3328
EP - 3333
BT - ICC 2022 - IEEE International Conference on Communications
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 IEEE International Conference on Communications, ICC 2022
Y2 - 16 May 2022 through 20 May 2022
ER -