9 citations · 15 across the 6 of their papers we have counts for
6 papers · 1 filter
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…
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…
Optimization of Power Transfer Efficiency and Energy Efficiency for Wireless-Powered Systems with Massive MIMO
Talha Ahmed Khan, Ali Yazdan, Robert W. Heath
Massive MIMO is attractive for wireless information and energy transfer due to its ability to focus energy towards desired spatial locations. In this paper, the overall power trans…