Physical Layer Security for NOMA-Enabled Multi-Access Edge Computing Wireless Networks
Yating Wen, Tong-Xing Zheng, Yongxia Tong, Hao-Wen Liu, Xin Chen,, Pengcheng Mu, Hui-Ming Wang

TL;DR
This paper investigates physical layer security in NOMA-enabled multi-access edge computing systems, proposing an efficient algorithm to minimize energy consumption while ensuring secrecy against eavesdroppers.
Contribution
It introduces a novel optimization framework for secure computation offloading in MEC with NOMA, and develops an effective solution method for a challenging non-convex problem.
Findings
The proposed algorithm converges reliably.
The method achieves superior energy efficiency under secrecy constraints.
Numerical results validate the effectiveness of the approach.
Abstract
Multi-access edge computing (MEC) has been regarded as a promising technique for enhancing computation capabilities for wireless networks. In this paper, we study physical layer security in an MEC system where multiple users offload partial of their computation tasks to a base station simultaneously based on non-orthogonal multiple access (NOMA), in the presence of a malicious eavesdropper. Secrecy outage probability is adopted to measure the security performance of the computation offloading against eavesdropping attacks. We aim to minimize the sum energy consumption of all the users, subject to constraints in terms of the secrecy offloading rate, the secrecy outage probability, and the decoding order of NOMA. Although the original optimization problem is non-convex and challenging to solve, we put forward an efficient algorithm based on sequential convex approximation and penalty dual…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsWireless Communication Security Techniques · Advanced Wireless Communication Technologies · Advanced Memory and Neural Computing
