arXiv:2606.05262v1 Announce Type: cross Abstract: 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
Advances in UAV technology and integrated sensing/communication systems are converging with increasing demands for intelligent transportation solutions, making the development of such hybrid capabilities timely.
This development suggests a future where critical infrastructure, such as vehicular networks, will rely on autonomous aerial platforms for both data collection and connectivity, enhancing efficiency and resilience.
The explicit analysis of optimal time allocation and trade-offs in X-band for vehicular networks signifies a maturing research direction for UAV-enabled ISaC systems, moving closer to practical deployment.
- · Drone manufacturers
- · Telecommunications companies
- · Smart city developers
- · Logistics and transportation sectors
- · Traditional fixed infrastructure providers
- · Organizations slow to adopt autonomous aerial solutions
Increased sensor coverage and communication reliability for transportation infrastructure, particularly in hard-to-reach or dynamic environments.
New regulatory frameworks will be required to manage airspace and data collection by UAVs operating in integrated sensing and communication roles over critical public assets.
Enhanced data streams from vehicular networks could feed into advanced AI models, optimizing traffic flow, predicting maintenance needs, and enabling fully autonomous transport systems.
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