Sensing Assisted Full-Duplex Unmanned Aerial Vehicle for Maximum Coverage of Users

Unmanned aerial vehicle mounted base stations (UAV-BSs) combine mobility and deployability, providing reliable communication coverage for users. This paper investigates a sensing assisted UAV equipped with full-duplex hardware platforms. We study layout optimization algorithms for UAV base stations in integrated sensing and communication (ISAC) scenarios. Our algorithm maximizes the number of users with different quality of service (QoS) requirements. Additionally, the transmission slots of the integrated signals is analyzed. Furthermore, simulation results demonstrate that the proposed solution can obtain significant throughput gains and coverage over the conventional designs.