1.2k citations · 2.5k across the 25 of their papers we have counts for
4 papers · 1 filter
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…
Blocking Probability Analysis for 5G New Radio (NR) Physical Downlink Control Channel
Mohammad Mozaffari, Y. -P. Eric Wang, Kittipong Kittichokechai
The 5th generation (5G) new radio (NR) is designed to support a wide range of use cases, requirements, and services from enhanced mobile broadband (eMBB) to ultra-reliable low-late…
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…
Federated Learning in the Sky: Joint Power Allocation and Scheduling with UAV Swarms
Tengchan Zeng, Omid Semiari, Mohammad Mozaffari +3
Unmanned aerial vehicle (UAV) swarms must exploit machine learning (ML) in order to execute various tasks ranging from coordinated trajectory planning to cooperative target recogni…