Integrated sensing and communication (ISAC) is considered one of the key technologies for the 6G network. In this letter, we propose a fair resource allocation method for the unmanned aerial vehicle (UAV) enabled communication network, where UAV are equipped with ISAC equipment to serve multiple users and targets. In order to achieve both fair communications and sensing, the resource allocation problem is formulated as maximizing the fairness index under the total power constraint, which is a typical non-convex optimization problem. Then, we propose the modified noise DDPG method to derive the power allocation. Finally, the simulation results verify the effectiveness of the proposed method compared with the benchmarks.

Integrated sensing and communication (ISAC) is a promising technique for unmanned aerial vehicle (UAV)-empowered 6G networks. In this letter, we propose a novel adaptable ISAC mechanism. Firstly, we investigate both the communication and sensing channel model under Doppler and beam-squint effect for the UAV ISAC with the wideband massive multiple-input multiple-output (MIMO) configuration. Then, we propose an adaptive sensing method by the joint designing the signal echo sensing and beam-squint sensing under practical environment. Specifically, when the echo power is larger than the minimum detectable power, the proposed method could realize the effective sensing by utilizing the system model without feedback. Otherwise, the proposed method could exploit the beam-squint for sensing with the feedback of the sub-carrier index. Finally, various simulation results are provided to demonstrate the effectiveness of the proposed scheme.