With the increase of mission complexity in urban environments, distributed unmanned aerial vehicle network puts higher requirements on communication connectivity and perception accuracy. Therefore, a topology optimization method for integrated sensing and communication distributed unmanned aerial vehicle network based on orthogonal frequency division multiplexing signals is constructed in the study. The method firstly constructs orthogonal frequency division multiplexing signal model and fuses delay-Doppler domain characteristics for target sensing. Meanwhile, the integrated sensing and communication distributed optimization algorithm is designed to achieve the joint enhancement of sensing coverage rate and communication connectivity rate through a distributed iterative strategy. The experimental results indicated that the proposed method could reach 0.98 in perception accuracy. In terms of communication connectivity rate, it could reach up to 0.98 in high-density deployment, and could maintain above 0.82 in low-density deployment. In terms of sensing coverage rate, the average value reached 94.5%. Simulation results indicated that the proposed framework achieved effective topology awareness and connectivity preservation under sensing-assisted optimization. The reported perception-related performance reflects network-level topology cognition and information awareness, rather than physical-layer sensing accuracy. The results emphasize the potential benefits of incorporating OFDM-inspired sensing indicators into the optimization of distributed UAV topologies for dynamic deployment scenarios.
Chunbing Jian (Thu,) studied this question.