9 citations · 15 across the 6 of their papers we have counts for
8 papers
Internet of Things from Space: Transforming LTE Machine Type Communications for Non-terrestrial Networks
Talha Ahmed Khan, Xingqin Lin, Stefan Eriksson Löwenmark +6
Satellite communication is experiencing a new dawn thanks to low earth orbit mega constellations being deployed at an unprecedented speed. Fueled by the renewed interest in non-ter…
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…
Narrowband Internet of Things for Non-terrestrial Networks
Olof Liberg, Stefan Eriksson Löwenmark, Sebastian Euler +4
The Narrowband Internet of Things (NB-IoT) is a cellular access technology developed by the Third Generation Partnership Project (3GPP) to provide wide area connectivity for the In…
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…
A Stochastic Geometry Approach to Doppler Characterization in a LEO Satellite Network
Talha Ahmed Khan, Mehrnaz Afshang
A Non-terrestrial Network (NTN) comprising Low Earth Orbit (LEO) satellites can enable connectivity to underserved areas, thus complementing existing telecom networks. The high-spe…
Efficient Drone Mobility Support Using Reinforcement Learning
Yun Chen, Xingqin Lin, Talha Khan +1
Flying drones can be used in a wide range of applications and services from surveillance to package delivery. To ensure robust control and safety of drone operations, cellular netw…