Content area
This paper proposes a novel reconfigurable intelligent surface (RIS)-assisted downlink hybrid free-space optics (FSO)/radio frequency (RF) space–air–ground integrated network (SAGIN) architecture, where the high altitude platform (HAP) converts the optical signal sent by the satellite into an electrical signal through optoelectronic conversion. The drone equipped with RIS dynamically adjusts the signal path to serve ground users, thereby addressing communication challenges caused by RF link blockages from clouds or buildings. To improve the security performance of SAGIN, this paper maximizes the sum secrecy rate (SSR) by optimizing the power allocation, RIS phase shift, and drone trajectory. Then, an alternating iterative framework is proposed for a joint solution using the simulated annealing algorithm, semi-definite programming, and the designed deep deterministic policy gradient (DDPG) algorithm. The simulation results show that the proposed scheme can significantly enhance security performance. Specifically, compared with the NOMA and SDMA schemes, the SSR of the proposed scheme is increased by 39.7% and 286.7%, respectively.
Details
High altitude;
Security;
Radio frequency;
Communication;
Bandwidths;
Optoelectronics;
Signal paths;
Confidentiality;
Optimization;
Secrecy aspects;
Military deployment;
Algorithms;
Energy efficiency;
Simulated annealing;
Downlinking;
Satellites;
Free space optics;
Reconfigurable intelligent surfaces
; Wang, Dawei 1
1 School of Electronics and Information, Northwestern Poltechnical University, Xi’an 710129, China;
2 College of Information Science and Engineering, Jiaxing University, Jiaxing 314001, China;