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

Wu, W; Wang, X; Zhou, F; Wong, K-K; Li, C; Wang, B; (2021) Resource Allocation for Enhancing Offloading Security in NOMA-Enabled MEC Networks. IEEE Systems Journal , 15 (3) pp. 3789-3792. 10.1109/JSYST.2020.3009723. Green open access

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Abstract

This letter studies an uplink non-orthogonal multiple access (NOMA) enabled mobile-edge computing (MEC) 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 non-convex 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.

Type: Article
Title: Resource Allocation for Enhancing Offloading Security in NOMA-Enabled MEC Networks
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/JSYST.2020.3009723
Publisher version: http://dx.doi.org/10.1109/JSYST.2020.3009723
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: NOMA, Uplink, Resource management, Encoding, Network security, Antieavesdropping ability (AEA), mobile edge computing (MEC), nonorthogonal multiple access (NOMA), physical layer security, resource allocation, Task analysis
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10135330
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