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Sep 2026

Joint Resource Allocation and Task Scheduling for LAWN-Enabled Emergency Response

The low-altitude wireless network (LAWN), mainly composed of uncrewed aerial vehicles (UAVs), is a promising paradigm for emergency response. However, the implementation of LAWN requires achieving efficient and reliable coordination among multifunctional UAVs. Therefore, how to guarantee communication reliability and r...

Jia He, Zi-Ye Jia, Can Cui et al. · 0 citations
2026

Uncertainty-Aware GP Bayesian Optimization for UAV-Based Closed-Loop RSSD Interference Localization

Unmanned aerial vehicle (UAV)-based interference source localization is increasingly important in dense 5G-Advanced and emerging 6G networks, where unknown interferers degrade communication reliability and bias measurement-driven channel modeling. However, propagation uncertainty caused by multipath, blockage, and non-...

Guo-Chen Gu, Zhi-Peng Lin, Yi-Ran Chen et al. · 0 citations
Preprint Aug 2026

Joint Spectrum and Airspace Resource Optimization for Low-altitude Wireless Network

Low-altitude wireless networks have emerged as a promising platform for enabling the safe and efficient operation of unmanned aerial vehicles (UAVs). However, due to the limited spectrum and airspace resources, it is challenging to efficiently accomplish UAV flight tasks without collisions. In this paper, we propose a...

Ya-Fei Guo, Ziye Jia, Lei Zhang et al. · 0 citations
Open access Jul 2026

Dual-Scale Grid-Based Adaptive Trajectory Planning for UAVs in Urban Low-Altitude Airspace

With the rapid growth of the low-altitude economy, the number of unmanned aerial vehicles (UAVs) has grown rapidly. It is challenging to plan substantial UAV trajectories in complex urban low-altitude airspace, considering the airspace capacity, inter-vehicle safety, and communication reliability. To deal with this cha...

Xin Zhang, Guang Cheng, Chao Wang et al. · 0 citations
Preprint Aug 2026

Joint Spectrum and Airspace Resource Optimization for Low-altitude Wireless Network

Low-altitude wireless networks have emerged as a promising platform for enabling the safe and efficient operation of unmanned aerial vehicles (UAVs). However, due to the limited spectrum and airspace resources, it is challenging to efficiently accomplish UAV flight tasks without collisions. In this paper, we propose a...

Ya-Fei Guo, Ziye Jia, Lei Zhang et al. · 0 citations

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