9 papers · 1 filter
Relativistic Cramér-Rao Bound Scaling for Device-Based and Device-Free Sensing
Fan Liu, Yifeng Xiong, Weijie Yuan +3
This letter investigates range and velocity estimation under relativistic motion for device-based (DB) and device-free (DF) sensing. By deriving the exact time-scaling and time-shi…
Toward Intelligent Skies: Signal Processing and AI Foundations of Low-Altitude Wireless Networks
Weijie Yuan, Geng Sun, Jiacheng Wang +7
The rapid growth of low-altitude aerial services and applications, driven by uncrewed aerial vehicles (UAVs), calls for a new class of digital infrastructure beyond conventional te…
Radar-Aided Near-Field Beam Prediction via Beam Map Learning for XL-MIMO V2I Communications
Jiali Nie, Yu Han, Yuanhao Cui +3
Near-field beam training in extremely large-scale multiple-input multiple-output (XL-MIMO) vehicle-to-infrastructure (V2I) systems incurs high overhead due to large range-angle cod…
Sense Smarter, Think Better: A Survey on Edge Perception for Next-Generation Networks
Zhonghao Lyu, Xiaowen Cao, Xianxin Song +11
Edge perception has emerged as a foundational capability for future wireless networks, enabling the network edge to proactively sense, interpret, and interact with the physical env…
Predictive Beamforming in Low-Altitude Wireless Networks: A Cross-Attention Approach
Xiaotong Zhao, Yuanhao Cui, Weijie Yuan +3
Accurate beam prediction is essential for maintaining reliable links and high spectral efficiency in dynamic low-altitude wireless networks. However, existing approaches often fail…
Integrating Low-Altitude SAR Imaging into UAV Data Backhaul
Zhen Du, Fan Liu, Jie Yang +4
Synthetic aperture radar (SAR) on unmanned aerial vehicles (UAVs) enables high-resolution sensing in low-altitude wireless networks, while requiring reliable uplink data backhaul t…