From the 1 of 8 linked papers with an AI index.
8 papers
Low-Altitude Channel Multipath Prediction via Panoramic Perception and Vision-Language Model
Zihang Zeng, Shu Sun, Meixia Tao +3
Unmanned aerial vehicle (UAV) communication is expected to support a wide range of low-altitude applications in 6G mobile networks. However, traditional statistical channel models…
M3F-UAV: A Missing-Modality Multimodal Foundation Model for Low-Altitude Wireless Sensing
Pengxuan Gao, Kai Ying, Botao Wu +2
The paper introduces M3F-UAV, a foundation model that learns a unified representation from visual, geometric, and wireless data to enable reliable low‑altitude UAV sensing even whe…
LAMBDA: A Low-Altitude Multimodal Base Dataset for UAV Sensing and Communication
Lin Zhou, Peichuan Rao, Chenshuo Zhang +4
Research on low-altitude integrated sensing and communication (ISAC) requires aligned multimodal data that jointly describe wireless propagation, visual appearance, unmanned aerial…
Phase-Time Array Enabled Multistatic Sensing with Multi-Level Fusion for UAV Localization
Ming Gao, Jianhua Mo, Meixia Tao
Multistatic collaborative sensing eliminates self-interference, achieves spatial diversity gains, and enables wide-range seamless integrated sensing and communication (ISAC). Howev…
Deep Learning-Based Beamforming Design Using Target Beam Patterns
Hongpu Zhang, Shu Sun, Hangsong Yan +1
This paper proposes a deep learning-based beamforming design framework that directly maps a target beam pattern to optimal beamforming vectors across multiple antenna array archite…
Joint Phase Time Array: Opportunities, Challenges and System Design Considerations
Young-Han Nam, Ahmad AlAmmouri, Jianhua Mo +1
This paper presents a novel approach to designing millimeter-wave (mmWave) cellular communication systems, based on joint phase time array (JPTA) radio frequency (RF) frontend arch…