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.· IEEE International Symposium...· 1 citation
We study the problem of Distributed Unit (DU) & Centralized Unit (CU) placement in Open RAN for reducing the energy footprint of the network, under explicit distance & bandwidth constraints on real-world Radio Unit (RU) topologies. We show that the DU / CU placement can be formulated as a minimum dominating set (MDS) p...
Hiba Hojeij, A. Aravanis, Sahar Hoteit et al.· International Mediterranean...· 0 citations
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.· IEEE Conference on Network S...· 0 citations
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