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arXiv · 2609.39156

Spatio-Temporal Wireless-Optical Planning for Multi-UAV Networks

Binglei Wang·Huiru Ao·Fan Yang·Zhenjie Zhou·Zhonghua Peng·Jialong Li
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Abstract

Multi-unmanned aerial vehicle (UAV) networks in urban low-altitude environments couple UAV mobility, wireless access, and optical backhaul resources. Existing path-planning methods optimize flight distance or wireless signal quality, but can still concentrate traffic on shared optical backhaul links. We present Spatio-Temporal Wireless-Optical (STWO) planner, a backhaul-aware path-planning algorithm that jointly considers flight distance, wireless link quality, and time-varying optical-link offered-load ratio. STWO updates backhaul occupancy during sequential multi-UAV planning, allowing later UAVs to avoid congested optical paths while maintaining wireless connectivity. Experiments show that STWO reduces peak optical-link offered-load ratio by up to 56.4\% and congestion ratio by up to 72.6\% under dense UAV deployment, demonstrating the importance of wireless-optical awareness for reliable multi-UAV transmission.

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Binglei Wang, Huiru Ao, Fan Yang, Zhenjie Zhou, Zhonghua Peng, Jialong Li. 2026-09-30. Spatio-Temporal Wireless-Optical Planning for Multi-UAV Networks. https://arxiv.org/abs/2609.39156

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