X-Band UAV-enabled Integrated Sensing and Communications for Vehicular Networks
It addresses the time allocation trade-off in UAV-based ISaC for intelligent transportation systems, but the results are simulation-based without real-world validation.
This paper investigates optimal time allocation for a UAV-enabled integrated sensing and communication system in X-band for vehicular networks, demonstrating adaptive strategies that balance sensing accuracy and communication performance under practical constraints.
Uncrewed aerial vehicles (UAVs) are increasingly considered as aerial platforms capable of providing both sensing and communication services, representing a promising paradigm for intelligent transportation systems. This paper investigates the optimal time allocation for a UAV-enabled integrated sensing and communication (ISaC) system operating in the X-band for vehicular networks. We analyze the trade-off between sensing accuracy and communication performance under practical UAV constraints and fading effects, considering both single-shadowing and double-shadowing channel models. An optimization framework is developed to allocate time between sensing and communication while guaranteeing minimum communication rates and sufficient sensing reliability. Simulation results demonstrate adaptive time allocation strategies, highlighting how UAV-to-ground channel conditions and target distances influence the balance between sensing and communication in smart mobility scenarios.