111 citations · 392 across the 38 of their papers we have counts for
9 papers · 1 filter
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…
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…
Structured Massive Access for Scalable Cell-Free Massive MIMO Systems
Shuaifei Chen, Jiayi Zhang, Emil Björnson +2
How to meet the demand for increasing number of users, higher data rates, and stringent quality-of-service (QoS) in the beyond fifth-generation (B5G) networks? Cell-free massive mu…
Satellite-Terrestrial Channel Characterization in High-Speed Railway Environment at 22.6 GHz
Lei Ma, Ke Guan, Dong Yan +4
The integration of satellite and terrestrial communication systems plays a vital role in the fifth-generation mobile communication system (5G) for the ubiquitous coverage, reliable…
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…