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Author

Rim Sayegh

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Sep 2026

An Explainable and Objective-Aware DRL Framework for MEC-Enabled Vehicular Networks

Multi-access Edge Computing (MEC) resource allocation in vehicular (V2X) networks is a multi-objective control problem that jointly optimizes latency, load balancing, and mobility constraints under highly dynamic conditions. Although deep reinforcement learning (DRL) can adapt to such environments, its decision-making...

Rim Sayegh, Hela Marouane, Abdul Karim Gizzini et al. · 1 citation
Conference Jun 2026

Toward Mobility-Aware and Explainable Orchestration in MEC-Enabled Vehicular Networks

With the emergence of autonomous vehicles and the ever-increasing volume of generated data, the Mobile Edge Computing paradigm has been proposed to address challenges related to latency and computational capacity. However, static vehicle-to-MEC association policies fail to meet these requirements due to the highly dyna...

Rim Sayegh, Hela Marouane, Sahar Hoteit et al. · 0 citations

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