TY - GEN
T1 - Resource Optimization and AAV Deployment for RSMA-RIS Enabled Secure Communication
AU - Li, Jiawei
AU - Liu, Tong
AU - Wang, Dawei
AU - Xin, Yun
AU - Feng, Haoren
AU - Wang, Mingyang
AU - Zhao, Hongbo
AU - Li, Li
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - This paper investigates a downlink multi-user communication network enabled by an autonomous aerial vehicle (AAV) integrated with the reconfigurable intelligent surface (RIS). The proposed network introduces rate-splitting multiple access (RSMA) to provide high-quality services to various ground users and leverages the RIS-mounted AAV to reconstruct wireless channels, thereby enhancing resistance to potential eavesdropping threats. To promote green communication, we formulate an optimization problem aimed at maximizing the sum secrecy rate. For the non-convex problem, we propose an iterative framework for joint optimization. Specifically, the simulated annealing (SA) algorithm is employed to achieve power allocation, the semi-definite relaxation (SDR) method is applied to obtain the RIS phase shifts, and the deep deterministic policy gradient (DDPG) algorithm is proposed to optimize the AAV trajectory. Numerical results demonstrate the superiority of the proposed scheme in improving physical layer security and supporting efficient multi-user access.
AB - This paper investigates a downlink multi-user communication network enabled by an autonomous aerial vehicle (AAV) integrated with the reconfigurable intelligent surface (RIS). The proposed network introduces rate-splitting multiple access (RSMA) to provide high-quality services to various ground users and leverages the RIS-mounted AAV to reconstruct wireless channels, thereby enhancing resistance to potential eavesdropping threats. To promote green communication, we formulate an optimization problem aimed at maximizing the sum secrecy rate. For the non-convex problem, we propose an iterative framework for joint optimization. Specifically, the simulated annealing (SA) algorithm is employed to achieve power allocation, the semi-definite relaxation (SDR) method is applied to obtain the RIS phase shifts, and the deep deterministic policy gradient (DDPG) algorithm is proposed to optimize the AAV trajectory. Numerical results demonstrate the superiority of the proposed scheme in improving physical layer security and supporting efficient multi-user access.
KW - Autonomous aerial vehicle (AAV)
KW - reconfigurable intelligent surface (RIS)
KW - sum secrecy rate maximization
UR - https://www.scopus.com/pages/publications/105017689000
U2 - 10.1109/DMCIS65888.2025.11138407
DO - 10.1109/DMCIS65888.2025.11138407
M3 - 会议稿件
AN - SCOPUS:105017689000
T3 - 2025 2nd International Conference on Digital Media, Communication and Information Systems, DMCIS 2025
SP - 53
EP - 58
BT - 2025 2nd International Conference on Digital Media, Communication and Information Systems, DMCIS 2025
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd International Conference on Digital Media, Communication and Information Systems, DMCIS 2025
Y2 - 20 June 2025 through 22 June 2025
ER -