From the 1 of 6 linked papers with an AI index.
6 papers
Radar-Aided Near-Field Beam Prediction via Beam Map Learning for XL-MIMO V2I Communications
Jiali Nie, Yu Han, Yuanhao Cui +3
The paper introduces a passive radar‑aided framework that predicts near‑field beams for XL‑MIMO vehicle‑to‑infrastructure links by learning a mapping from radar Bartlett spectra to…
Low-Altitude Wireless Networks: The Next Horizon of Wireless Infrastructure
Yuanhao Cui, Jiali Nie, Weijie Yuan +5
Low-altitude airspace, roughly defined as the region up to 3000 meters above ground level, is envisioned as a new spatial domain for daily human and machine activities. This articl…
Analytical Framework of Airy Beams in Near-Field XL-MIMO: From Ideal Optics to Wireless Reality
Zhizheng Lu, Yu Han, Ruirui Sun +2
The synthesis of Airy-profiled wavefronts has emerged as a pivotal paradigm for advanced electromagnetic engineering, attributed to their intrinsic non-diffractive propagation, tra…
Integrated Sensing and Communication: Towards Multifunctional Perceptive Network
Yuanhao Cui, Jiali Nie, Fan Liu +7
The capacity-maximization design philosophy has driven the growth of wireless networks for decades. However, with the slowdown in recent data traffic demand, the mobile industry ca…
Edge Perception: Intelligent Wireless Sensing at Network Edge
Yuanhao Cui, Xiaowen Cao, Guangxu Zhu +2
Future sixth-generation (6G) networks are envisioned to support intelligent applications across various vertical scenarios, which have stringent requirements on high-precision sens…
Near-field Beam training for Extremely Large-scale MIMO Based on Deep Learning
Jiali Nie, Yuanhao Cui, Zhaohui Yang +2
Extremely Large-scale Array (ELAA) is considered a frontier technology for future communication systems, pivotal in improving wireless systems' rate and spectral efficiency. As ELA…