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Joint precoding optimization for secure SWIPT in UAV-Aided NOMA networks

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Wang, Wei, Tang, Jie, Zhao, Nan, Liu, Xin, Zhang, Xiu Yin, Chen, Yunfei and Qian, Yi (2020) Joint precoding optimization for secure SWIPT in UAV-Aided NOMA networks. IEEE Transactions on Communications, 68 (8). pp. 5028-5040. doi:10.1109/TCOMM.2020.2990994 ISSN 0090-6778.

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Official URL: http://dx.doi.org/10.1109/TCOMM.2020.2990994

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Abstract

Combination of unmanned aerial vehicle (UAV) and non-orthogonal multiple access (NOMA) is deemed as an promising solution to achieving massive connectivity in future wireless networks. In this paper, a UAV-aided NOMA scheme is proposed to achieve simultaneous wireless information and power transfer (SWIPT) and guarantee the secure transmission for ground passive receivers (PRs), in which the nonlinear energy harvesting model is applied. Each time frame is divided into two phases. In the first phase, the received power at each PR is maximized to achieve rapid charging. In the second phase, SWIPT is performed via NOMA with the remaining energy at each PR, and artificial jamming is generated at UAV together with the NOMA information to guarantee the security. The throughput of PRs is maximized, with the highest received jamming power cancelled at each PR via successive interference cancellation (SIC). This disrupts the eavesdropping effectively by jamming without affecting the legitimate transmission. Due to the non-convexity of these two optimization problems, we first convert them to convex ones and then propose iterative algorithms to solve them. Simulation results are presented to show the effectiveness of the proposed scheme.

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: August 2020
Dates:
DateEvent
August 2020Published
28 April 2020Available
22 April 2020Accepted
Volume: 68
Number: 8
Page Range: pp. 5028-5040
DOI: 10.1109/TCOMM.2020.2990994
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access

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