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.· IEEE Internet of Things Jour...· 0 citations
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-...
This paper proposes a sequential framework with two coupled stages that coordinates spectrum allocation and airspace planning to construct efficient low-altitude air corridors and proposes a joint spectrum and airspace resource allocation algorithm to minimize the total traversal cost of air corridors.
Ya-Fei Guo, Zi-Ye Jia, Lei Zhang et al.· 0 citations
A dual-scale grid-based trajectory planning approach that separates the global routing and local refinement of UAV trajectories, and proposes a priority-driven dual-grid Theta* with adaptive relaxation (DGTAR) to balance the global planning efficiency and local obstacle avoidance accuracy.
Xin Zhang, Guang Cheng, Chao Wang et al.· Mathematics· 0 citations
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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