Resource Allocation for Enhancing Offloading Security in NOMA-Enabled MEC Networks

• Published in: IEEE systems journal Vol. 15; no. 3; pp. 3789 - 3792
• Main Authors: Wu, Wei, Wang, Xinxin, Zhou, Fuhui, Wong, Kai-Kit, Li, Chunguo, Wang, Baoyun
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.09.2021; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Antieavesdropping ability (AEA); Computation offloading; Edge computing; Encoding; Iterative algorithms; Iterative methods; Mobile computing; mobile edge computing (MEC); Network security; NOMA; Nonorthogonal multiple access; nonorthogonal multiple access (NOMA); physical layer security; Resource allocation; Resource management; Secrecy aspects; Task analysis; Uplink
• ISSN: 1932-8184; 1937-9234
• DOI: 10.1109/JSYST.2020.3009723

This paper studies an uplink nonorthogonal multiple access (NOMA)-enabled mobile-edge computing network. Specifically, we focus on the practical design of secure offloading without knowing the eavesdropper's channel state information. The aim is to maximize the minimum antieavesdropping ability (AEA) for uplink NOMA users subject to the worst-case secrecy rate requirements and limited transmission power budgets. The formulated problem is nonconvex and difficult to be solved directly. In order to tackle this issue, we propose an efficient iterative algorithm by jointly designing the secrecy rate, local computing bits, and power allocation. The local computing bits and the power allocation are derived in closed form. Numerical results are provided to demonstrate the efficiency of our proposed scheme in terms of AEA.