Secure NOMA-based UAV-MEC network towards a flying eavesdropper

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Abstract

Non-orthogonal multiple access (NOMA) allows multiple users to share link resource for higher spectrum efficiency. It can be applied to unmanned aerial vehicle (UAV) and mobile edge computing (MEC) networks to provide convenient offloading computing service for ground users (GUs) with large-scale access. However, due to the line-of-sight (LoS) of UAV transmission, the information can be easily eavesdropped in NOMA-based UAV-MEC networks. In this paper, we propose a secure communication scheme for the NOMA-based UAV-MEC system towards a flying eavesdropper. In the proposed scheme, the average security computation capacity of the system is maximized while guaranteeing a minimum security computation requirement for each GU. Due to the uncertainty of the eavesdropper’s position, the coupling of multi-variables and the non-convexity of the problem, we first study the worst security situation through mathematical derivation. Then, the problem is solved by utilizing successive convex approximation (SCA) and block coordinate descent (BCD) methods with respect to channel coefficient, transmit power, central processing unit (CPU) computation frequency, local computation and UAV trajectory. Simulation results show that the proposed scheme is superior to the benchmarks in terms of the system security computation performance.

Item Type: Journal Article
Divisions: Faculty of Science, Engineering and Medicine > Engineering > Engineering
Journal or Publication Title: IEEE Transactions on Communications
Publisher: IEEE
ISSN: 0090-6778
Official Date: 14 March 2022
Dates:
Date
Event
14 March 2022
Published
3 March 2022
Available
10 September 2021
Submitted
Volume: 70
Number: 5
Page Range: pp. 3364-3376
DOI: 10.1109/TCOMM.2022.3159703
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
Copyright Holders: IEEE
RIOXX Funder/Project Grant:
Project/Grant ID
RIOXX Funder Name
Funder ID
61871348
[NSFC] National Natural Science Foundation of China
2018B030322004
Guangdong Key Laboratory of Aerospace Communication and Networking Technology
UNSPECIFIED
Related URLs:
URI: https://wrap.warwick.ac.uk/166978/

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