Secrecy Offloading Rate Maximization for Multi-Access Mobile Edge Computing Networks

• Published in: IEEE communications letters Vol. 25; no. 12; pp. 3800 - 3804
• Main Authors: Zhao, Mingxiong, Bao, Huiqi, Yin, Li, Yao, Jianping, Quek, Tony Q. S.
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.12.2021; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Computation offloading; Eavesdropping; Edge computing; Energy consumption; Mobile computing; Multi-access mobile edge computing (MEC); Optimization; physical layer security; Quality of service; Radio equipment; Radio spectrum management; Resource management; Secrecy aspects; secrecy offloading rate maximization; Security; Servers; Task analysis
• ISSN: 1089-7798; 1558-2558
• DOI: 10.1109/LCOMM.2021.3114772

This letter considers a multi-access mobile edge computing (MEC) network consisting of multiple users, multiple base stations, and a malicious eavesdropper. Specifically, the users adopt the partial offloading strategy by partitioning the computation task into several parts. One is executed locally and the others are securely offloaded to multiple MEC servers integrated into the base stations by leveraging the physical layer security to combat the eavesdropping. We jointly optimize power allocation, task partition, subcarrier allocation, and computation resource to maximize the secrecy offloading rate of the users, subject to communication and computation resource constraints. Numerical results demonstrate that our proposed schemes outperform the benchmark schemes substantially and emphasize the necessity of conducting computation offloading over multiple MEC servers.