| Title |
Optimization Algorithm for the Security Improvement in Active RIS-aided Non-terrestrial Networks |
| Authors |
심윤아;신승석;마진아;문상미;김대진;홍대기;황인태 |
| DOI |
https://doi.org/10.5573/ieie.2024.61.5.3 |
| Keywords |
Minorization-maximization; Non-terrestrial network; Optimization; Reconfigurable intelligent surface; Secrecy rate; Successive convex approximation; Unmanned aerial vehicle |
| Abstract |
The high frequency in the terahertz(THz) band is crucial for supporting 6G, offering abundant spectrum and high data transmission rates. However, a significant challenges lies in the substantial path loss associated with this frequency. To address this issue, there is growing interest in utilizing high-altitude satellites as a base station or terminal for non-terrestrial networks(NTN) and employing reconfigurable intelligent surface(RIS). In addition, the openness of the environment in a 3D NTN system poses a vulnerability to wireless signals being susceptible to eavesdropping. This paper introduces an algorithm aimed at maximizing the security transmission rate in such scenarios. The proposed algorithm optimizes the base station beamforming vector and the RIS beamforming vector by applying successive convex approximation(SCA) and minorization-maximization(MM) algorithms. The objective is to enhance the security performance. Simulation results indicate that the proposed algorithm outperforms existing methods in terms of secrecy rate. |