Reinforcement Learning Based Vehicle-cell Association Algorithm for Highly Mobile Millimeter Wave Communication

no code implementations • 22 Jan 2020 • Hamza Khan, Anis Elgabli, Sumudu Samarakoon, Mehdi Bennis, Choong Seon Hong

Vehicle-to-everything (V2X) communication is a growing area of communication with a variety of use cases.

Reinforcement Learning (RL)

Deep Learning Assisted CSI Estimation for Joint URLLC and eMBB Resource Allocation

no code implementations • 12 Mar 2020 • Hamza Khan, M. Majid Butt, Sumudu Samarakoon, Philippe Sehier, Mehdi Bennis

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 energy efficiency.

Timestamp-Supervised Action Segmentation with Graph Convolutional Networks

no code implementations • 30 Jun 2022 • Hamza Khan, Sanjay Haresh, Awais Ahmed, Shakeeb Siddiqui, Andrey Konin, M. Zeeshan Zia, Quoc-Huy Tran

We introduce a novel approach for temporal activity segmentation with timestamp supervision.

Action Segmentation Segmentation

Zero-energy Devices for 6G: Technical Enablers at a Glance

no code implementations • 14 Feb 2024 • Onel López, Ritesh Kumar Singh, Dinh-Thuy Phan-Huy, Efstathios Katranaras, Nafiseh Mazloum, Riku Jäntti, Hamza Khan, Osmel Rosabal, Pavlos Alexias, Prasoon Raghuwanshi, David Ruiz-Guirola, Bikramjit Singh, Andreas Höglund, Dung Pham Van, Amirhossein Azarbahram, Jeroen Famaey

Low-cost, resource-constrained, maintenance-free, and energy-harvesting (EH) Internet of Things (IoT) devices, referred to as zero-energy devices (ZEDs), are rapidly attracting attention from industry and academia due to their myriad of applications.

Management Scheduling