Maxime Elkael

According to our database1, Maxime Elkael authored at least 8 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Efficient Network Slicing Orchestrator for 5G Networks using a Genetic Algorithm-based Scheduler with Kubernetes: Experimental Insights.
Proceedings of the 10th IEEE International Conference on Network Softwarization, 2024

2023
Reinforcement learning and optimization for energy efficient 5G slicing with Quality of Service guarantees. (Apprentissage par renforcement et optimisation pour un slicing 5G économe en énergie et garantissant la qualité de service).
PhD thesis, 2023

Joint Routing and Energy Optimization for Integrated Access and Backhaul with Open RAN.
Proceedings of the IEEE Global Communications Conference, 2023

Joint Placement, Routing and Dimensioning at the Network Edge for Energy Minimization.
Proceedings of the IEEE Global Communications Conference, 2023

2022
Monkey Business: Reinforcement learning meets neighborhood search for Virtual Network Embedding.
Comput. Networks, 2022

Integrated Deployment Prototype for Virtual Network Orchestration Solution.
Proceedings of the 2022 IEEE/IFIP Network Operations and Management Symposium, 2022

2021
Improved Monte Carlo Tree Search for Virtual Network Embedding.
Proceedings of the 46th IEEE Conference on Local Computer Networks, 2021

A two-stage algorithm for the Virtual Network Embedding problem.
Proceedings of the 46th IEEE Conference on Local Computer Networks, 2021


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