286 citations · 1.2k across the 58 of their papers we have counts for
9 papers · 1 filter
RIS-assisted High-Speed Railway Integrated Sensing and Communication System
Panpan Li, Yong Niu, Hao Wu +5
One technology that has the potential to improve wireless communications in years to come is integrated sensing and communication (ISAC). In this study, we take advantage of reconf…
Artificial intelligence enabled radio propagation for communications-Part II: Scenario identification and channel modeling
Chen Huang, Ruisi He, Bo Ai +8
This two-part paper investigates the application of artificial intelligence (AI) and in particular machine learning (ML) to the study of wireless propagation channels. In Part I, w…
Artificial intelligence enabled radio propagation for communications-Part I: Channel characterization and antenna-channel optimization
Chen Huang, Ruisi He, Bo Ai +8
To provide higher data rates, as well as better coverage, cost efficiency, security, adaptability, and scalability, the 5G and beyond 5G networks are developed with various artific…
Cluster-based Characterization and Modeling for UAV Air-to-Ground Time-Varying Channels
Zhuangzhuang Cui, Ke Guan, Claude Oestges +3
With the deep integration between the unmanned aerial vehicle (UAV) and wireless communication, UAV-based air-to-ground (AG) propagation channels need more detailed descriptions an…
Coverage Probability Analysis of IRS-Aided Communication Systems
Zhuangzhuang Cui, Ke Guan, Jiayi Zhang +1
The intelligent reflective surface (IRS) technology has received many interests in recent years, thanks to its potential uses in future wireless communications, in which one of the…
Channel Modeling for UAV Communications: State of the Art, Case Studies, and Future Directions
Zhuangzhuang Cui, Ke Guan, César Briso-Rodríguez +3
As essential aerial platforms, unmanned aerial vehicles (UAVs) play an increasingly important role in broad wireless connectivity and high-data-rate transmission for future communi…
Solving Sparse Linear Inverse Problems in Communication Systems: A Deep Learning Approach With Adaptive Depth
Wei Chen, Bowen Zhang, Shi Jin +2
Sparse signal recovery problems from noisy linear measurements appear in many areas of wireless communications. In recent years, deep learning (DL) based approaches have attracted…
Analytical Modeling of UAV-to-Vehicle Propagation Channels in Built-Up Areas
Zhuangzhuang Cui, Ke Guan, César Briso +4
This letter presents an analytical path loss model for air-ground (AG) propagation between unmanned aerial vehicles (UAVs) and ground-based vehicles. We consider built-up areas, su…
Probabilistic Two-Ray Model for Air-to-Air Channel in Built-Up Areas
Zhuangzhuang Cui, Ke Guan, César Briso +3
In this paper, we present a probabilistic two-ray (PTR) path loss model for air-to-air (AA) propagation channel in built-up areas. Based on the statistical model of city deployment…