44 citations · 75 across the 2 of their papers we have counts for
6 papers · 1 filter
Deep Learning Assisted CSI Estimation for Joint URLLC and eMBB Resource Allocation
Hamza Khan, M. Majid Butt, Sumudu Samarakoon +2
Multiple-input multiple-output (MIMO) is a key for the fifth generation (5G) and beyond wireless communication systems owing to higher spectrum efficiency, spatial gains, and energ…
Enhancing Video Streaming in Vehicular Networks via Resource Slicing
Hamza Khan, Sumudu Samarakoon, Mehdi Bennis
Vehicle-to-everything (V2X) communication is a key enabler that connects vehicles to neighboring vehicles, infrastructure and pedestrians. In the past few years, multimedia service…
Reinforcement Learning Based Vehicle-cell Association Algorithm for Highly Mobile Millimeter Wave Communication
Hamza Khan, Anis Elgabli, Sumudu Samarakoon +2
Vehicle-to-everything (V2X) communication is a growing area of communication with a variety of use cases. This paper investigates the problem of vehicle-cell association in millime…
Network Slicing for Vehicular Communication
Hamza Khan, Petri Luoto, Sumudu Samarakoon +2
Ultra-reliable vehicle-to-everything (V2X) communication is essential for enabling the next generation of intelligent vehicles. V2X communication is a growing area of communication…
Reinforcement Learning Based Scheduling Algorithm for Optimizing Age of Information in Ultra Reliable Low Latency Networks
Anis Elgabli, Hamza Khan, Mounssif Krouka +1
Age of Information (AoI) measures the freshness of the information at a remote location. AoI reflects the time that is elapsed since the generation of the packet by a transmitter.…
On the Application of Network Slicing for 5G-V2X
Hamza Khan, Petri Luoto, Mehdi Bennis +1
Ultra-reliable vehicle-to-everything (V2X) communication is essential for enabling the next generation of intelligent vehicles. V2X communication refers to the exchange of informat…