5 citations · 10 across the 4 of their papers we have counts for
4 papers
Deep Learning-based Link Configuration for Radar-aided Multiuser mmWave Vehicle-to-Infrastructure Communication
Andrew Graff, Yun Chen, Nuria González-Prelcic +1
Configuring millimeter wave links following a conventional beam training protocol, as the one proposed in the current cellular standard, introduces a large communication overhead,…
Radar Aided mmWave Vehicle-to-InfrastructureLink Configuration Using Deep Learning
Yun Chen, Andrew Graff, Nuria González-Prelcic +1
The high overhead of the beam training process is the main challenge when establishing mmWave communication links, especially for vehicle-to-everything (V2X) scenarios where the ch…
5G Air-to-Ground Network Design and Optimization: A Deep Learning Approach
Yun Chen, Xingqin Lin, Talha Khan +2
Direct air-to-ground (A2G) communications leveraging the fifth-generation (5G) new radio (NR) can provide high-speed broadband in-flight connectivity to aircraft in the sky. A2G ne…
A Deep Reinforcement Learning Approach to Efficient Drone Mobility Support
Yun Chen, Xingqin Lin, Talha Ahmed Khan +1
The growing deployment of drones in a myriad of applications relies on seamless and reliable wireless connectivity for safe control and operation of drones. Cellular technology is…