In this paper, we focus on the complexity of that task and propose MonGNN, a standalone solution based on Graph Neural Networks (GNNs) and genetic algorithms to ...
Jan 4, 2022 · In this paper, we focus on the complexity of that task and propose MonGNN, a standalone solution based on Graph Neural Networks (GNNs) and ...
In this paper, we focus on the complexity of that task and propose MonGNN, a standalone solution based on Graph Neural Networks (GNNs) and genetic algorithms.
In this paper, we focus on the complexity of that task and propose MonGNN, a standalone solution based on Graph Neural Networks (GNNs) and genetic algorithms to ...
MonGNN: A neuroevolutionary-based solution for 5G network slices monitoring · Anouar Rkhami at National Institute for Research in Computer Science and Control.
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Co-authors ; MonGNN: A neuroevolutionary-based solution for 5G network slices monitoring. A Rkhami, Y Hadjadj-Aoul, G Rubino, A Outtagarts. 2021 IEEE 46th ...
Anouar Rkhami, Yassine Hadjadj Aoul, Gerardo Rubino, Abdelkader Outtagarts: MonGNN: A neuroevolutionary-based solution for 5G network slices monitoring.
Apr 25, 2024 · MonGNN: A neuroevolutionary-based solution for 5G network slices monitoring. LCN 2021: 185-192; 2020. [c1]. view. electronic edition via DOI ...
Jan 27, 2022 · ... MonGNN : A neuroevolutionary-based solution for 5G network slices' monitoring. — We define a Genetic Algorithm (GA) to identify the monitors ...
MonGNN: A neuroevolutionary-based solution for 5G network slices monitoring ... solution for pre-deployed optical fiber based 5G cellular backhaul networks.