Fair Resource Allocation with Noise DDPG for UAV enabled ISAC Systems

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.