RIS-Assisted Joint Waveform Design for PAPR-Aware AAV-Enabled Integrated Sensing and Communication

• Published in: IEEE transactions on vehicular technology Vol. 74; no. 7; pp. 10480 - 10494
• Main Authors: Gu, Meng, Liu, Yaxi, He, Boxin, Huangfu, Wei, Long, Keping
• Format: Journal Article
• Language: English
• Published: IEEE 01.07.2025
• Subjects: alternating direction method of multipliers; Autonomous aerial vehicles; Convex functions; Downlink; Integrated sensing and communication; Interference; multiuser interference; Optimization; peak average power ratio; Peak to average power ratio; Radar; reconfigurable intelligent surface; Reconfigurable intelligent surfaces; Wireless communication
• ISSN: 0018-9545; 1939-9359
• DOI: 10.1109/TVT.2025.3543634

Reconfigurable Intelligent Surface (RIS)-assisted Autonomous Aerial Vehicle (AAV)-enabled Integrated Sensing and Communication (ISAC) systems have received wide attention due to flexible mobility of AAVs and auxiliary links provided by RIS. However, the existing works usually neglect the peak-to-average power ratio (PAPR), a key communication performance metric that reflects amplifier efficiency, interference levels, and equipment costs. Motivated by this, we consider PAPR constraints in RIS-assisted AAV-enabled ISAC system. An optimization for joint beamforming and RIS phase-shift matrices design is established, with the goal of minimizing the weighted sum of the multiuser interference (MUI) for communication and sensing beam pattern mismatch (BPM), subject to PAPR constraints, power constraints, ideal beam direction approximation constraints, and constant mode constraints on the phase-shift matrices. To tackle this non-convex problem, a multivariate cyclic iterative alternating-direction multiplier method (MCI-ADMM) is adopted to decouple the original problem into three sub-problems regarding three variables. Some mathematical techniques are adopted to solve these sub-problems, including augmented lagrangian, constraint reconstruction method based on orthogonal Procrustes problem, manifold optimization, quadratic representation, and variable substitution. The experimental results show inherent trade-offs between dual functionalities under PAPR constraints. In addition, the consideration of PAPR performs better system performance compared with baselines. Also, the stability and reliability under different parameters settings are verified.