Khalid Khan — accepted AI-conference papers

2025

Explainable Reinforcement Learning for Trajectory Design in UAV-assisted Wireless Networks

Ali Krayani, Khalid Khan, Lucio Marcenaro, Carlo S. Regazzoni

ICASSP 2025accepted

Unmanned aerial vehicles (UAVs) used as aerial base stations show significant promise for future wireless communication systems. This paper explores using a UAV as an autonomous agent, navigating over multiple hotspots to serve ground users (GUs) and maximize data transmission rates through strategi…

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2024

Self-Supervised Path Planning in UAV-Aided Wireless Networks Based on Active Inference

Ali Krayani, Khalid Khan, Lucio Marcenaro, Mario Marchese, Carlo S. Regazzoni

ICASSP 2024accepted

This paper presents a novel self-supervised path-planning method for UAV-aided networks. First, we employed an optimizer to solve training examples offline and then used the resulting solutions as demonstrations from which the UAV can learn the world model to understand the environment and implicitl…

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