TY - CHAP
T1 - Joint Trajectory and Passive Beamforming Design for Secure UAV Networks with RIS
AU - Long, Hui
AU - Chen, Ming
AU - Yang, Zhaohui
AU - Li, Zhiyang
AU - Wang, Bao
AU - Yun, Xu
AU - Shikh-Bahaei, Mohammad
N1 - Funding Information:
ACKNOWLEDGMENTS This work was supported by the National Natural Science Foundation of China (NSFC) under grant 61871128, 62001051 and the Fundamental Research on Foreword Leading Technology of Jiangsu Province under grant BK20192002.
Publisher Copyright:
© 2020 IEEE.
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2020/12
Y1 - 2020/12
N2 - This paper investigates the problem of secure energy efficiency maximization for a reconfigurable intelligent surface (RIS) assisted uplink wireless communication system, where an unmanned aerial vehicle (UAV) equipped with an RIS works as a mobile relay between the base station (BS) and a group of users. We focus on maximizing the secure energy efficiency of the system via jointly optimizing the UAV's trajectory, the RIS's phase shift, user association and transmit power. To tackle this problem, we divide the original problem into three sub-problems, and propose an efficient iterative algorithm. In particular, the successive convex approximation (SCA) method is applied to solve the nonconvex UAV trajectory, the RIS's phase shift, and transmit power optimization sub-problems. Simulation results demonstrate that the proposed algorithm converges fast, and the proposed design can enhance the secure energy efficiency by up to 38% gains, compared to the traditional schemes without any RIS.
AB - This paper investigates the problem of secure energy efficiency maximization for a reconfigurable intelligent surface (RIS) assisted uplink wireless communication system, where an unmanned aerial vehicle (UAV) equipped with an RIS works as a mobile relay between the base station (BS) and a group of users. We focus on maximizing the secure energy efficiency of the system via jointly optimizing the UAV's trajectory, the RIS's phase shift, user association and transmit power. To tackle this problem, we divide the original problem into three sub-problems, and propose an efficient iterative algorithm. In particular, the successive convex approximation (SCA) method is applied to solve the nonconvex UAV trajectory, the RIS's phase shift, and transmit power optimization sub-problems. Simulation results demonstrate that the proposed algorithm converges fast, and the proposed design can enhance the secure energy efficiency by up to 38% gains, compared to the traditional schemes without any RIS.
KW - reconfigurable intelligent surface
KW - secure communication
KW - UAV communications
UR - http://www.scopus.com/inward/record.url?scp=85102955792&partnerID=8YFLogxK
U2 - 10.1109/GCWkshps50303.2020.9367542
DO - 10.1109/GCWkshps50303.2020.9367542
M3 - Conference paper
AN - SCOPUS:85102955792
T3 - 2020 IEEE Globecom Workshops, GC Wkshps 2020 - Proceedings
BT - 2020 IEEE Globecom Workshops, GC Wkshps 2020 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 IEEE Globecom Workshops, GC Wkshps 2020
Y2 - 7 December 2020 through 11 December 2020
ER -
