TY - JOUR
T1 - Hybrid UAV-Enabled Secure Offloading via Deep Reinforcement Learning
AU - Yoo, Seonghoon
AU - Jeong, Seongah
AU - Kang, Joonhyuk
N1 - Publisher Copyright:
© 2012 IEEE.
PY - 2023/6/1
Y1 - 2023/6/1
N2 - In this letter, we consider a secure offloading system consisting of a unmanned aerial vehicle (UAV)-mounted edge server, ground user equipments (UEs) and a malicious eavesdropper UAV. With the aim of maximizing secrecy sum-rate, we propose an adaptation of a helper UAV to switch the mode between jamming and relaying. We jointly optimize the helper UAV's trajectory and mode and UEs' offloading decision under energy budget constraints and operational limitations of nodes. The proposed algorithm is developed based on a deep deterministic policy gradient (DDPG)-based method, whose superior performances are verified via numerical results, as compared to other benchmark schemes.
AB - In this letter, we consider a secure offloading system consisting of a unmanned aerial vehicle (UAV)-mounted edge server, ground user equipments (UEs) and a malicious eavesdropper UAV. With the aim of maximizing secrecy sum-rate, we propose an adaptation of a helper UAV to switch the mode between jamming and relaying. We jointly optimize the helper UAV's trajectory and mode and UEs' offloading decision under energy budget constraints and operational limitations of nodes. The proposed algorithm is developed based on a deep deterministic policy gradient (DDPG)-based method, whose superior performances are verified via numerical results, as compared to other benchmark schemes.
KW - deep reinforcement learning
KW - offloading
KW - physical-layer security
KW - Unmanned aerial vehicle (UAV)
UR - http://www.scopus.com/inward/record.url?scp=85149817197&partnerID=8YFLogxK
U2 - 10.1109/LWC.2023.3254554
DO - 10.1109/LWC.2023.3254554
M3 - Article
AN - SCOPUS:85149817197
SN - 2162-2337
VL - 12
SP - 972
EP - 976
JO - IEEE Wireless Communications Letters
JF - IEEE Wireless Communications Letters
IS - 6
ER -