TY - GEN
T1 - UAV-aided Secure NOMA Transmission via Trajectory and Resource Optimization
AU - Li, Yanxin
AU - Wang, Wei
AU - Liu, Mingqian
AU - Zhao, Nan
AU - Jiang, Xu
AU - Chen, Yunfei
AU - Wang, Xianbin
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - The application of NOMA in UAV networks is an effective solution for communications. However, the security risk becomes more serious with the LoS channels and higher transmit power for weaker users in NOMA-UAV networks. In this paper, a UAV-assisted NOMA transmission scheme is proposed to achieve secure downlink transmission via artificial jamming, where a UAV flies straightly to serve multiple ground users in the presence of a passive eavesdropper. Only the closest users to the UAV can be connected in each time slot to achieve high LoS probability. To balance the security and transmission performance, the tradeoff between the jamming power and the sum rate is investigated by jointly optimizing the power allocation, the user scheduling and the UAV trajectory. To address the problem, we first decompose the problem into two subproblems of power allocation and trajectory optimization. Then, they are transformed into convex ones for an iterative algorithm via the first-order Taylor expansion. Finally, simulation results are presented to show the effectiveness of the proposed scheme.
AB - The application of NOMA in UAV networks is an effective solution for communications. However, the security risk becomes more serious with the LoS channels and higher transmit power for weaker users in NOMA-UAV networks. In this paper, a UAV-assisted NOMA transmission scheme is proposed to achieve secure downlink transmission via artificial jamming, where a UAV flies straightly to serve multiple ground users in the presence of a passive eavesdropper. Only the closest users to the UAV can be connected in each time slot to achieve high LoS probability. To balance the security and transmission performance, the tradeoff between the jamming power and the sum rate is investigated by jointly optimizing the power allocation, the user scheduling and the UAV trajectory. To address the problem, we first decompose the problem into two subproblems of power allocation and trajectory optimization. Then, they are transformed into convex ones for an iterative algorithm via the first-order Taylor expansion. Finally, simulation results are presented to show the effectiveness of the proposed scheme.
KW - - Beamforming optimization
KW - non-orthogonal multiple access
KW - physical layer security
KW - power allocation
KW - unmanned aerial vehicle
UR - https://www.scopus.com/pages/publications/85123376474
U2 - 10.1109/WCSP52459.2021.9613552
DO - 10.1109/WCSP52459.2021.9613552
M3 - 会议稿件
AN - SCOPUS:85123376474
T3 - 13th International Conference on Wireless Communications and Signal Processing, WCSP 2021
BT - 13th International Conference on Wireless Communications and Signal Processing, WCSP 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 13th International Conference on Wireless Communications and Signal Processing, WCSP 2021
Y2 - 20 October 2021 through 22 October 2021
ER -