| Title |
Joint Beamforming Scheme for UAV-mounted IRS-aided ISAC System |
| Authors |
문상미(Sangmi Moon) ; 황인태(Intae Hwang) |
| DOI |
https://doi.org/10.5573/ieie.2024.61.12.3 |
| Keywords |
DRL; IRS; ISAC; Joint beamforming; UAV |
| Abstract |
In this paper, we propose a deep reinforcement learning-based joint beamforming scheme to maximize the sum-rate in the integrated sensing and communication (ISAC) system using unmanned aerial vehicle(UAV)-mounted intelligent reflecting surface(IRS). The proposed scheme jointly designs the beamforming of base station and IRS while satisfying the sensing requirements based on deep reinforcement learning(DRL). Simulation results based on 3D ray-tracing show that that the utilization of UAV-mounted IRS and the proposed DRL-based joint beamforming scheme significantly enhances the sum-rate in the ISAC system. |