| An Exposed Closed-Loop Model for Customer-Driven Service Assurance Automation M Xie, F Michelinakis, T Dreibholz, JS Pujol-Roig, S Malacarne, ... 2021 Joint European Conference on Networks and Communications & 6G Summit …, 2021 | 9 | 2021 |
| Understanding Exploration and Exploitation of Q-Learning Agents in B5G Network Management S Majumdar, R Trivisonno, G Carle 2021 IEEE Globecom Workshops (GC Wkshps), 1-6, 2021 | 8 | 2021 |
| Environment modeling and abstraction of network states for cognitive functions SS Mwanje, M Kajó, S Majumdar, G Carle NOMS 2020-2020 IEEE/IFIP Network Operations and Management Symposium, 1-8, 2020 | 6 | 2020 |
| Towards Massive Distribution of Intelligence for 6G Network Management using Double Deep Q-Networks S Majumdar, S Schwarzmann, R Trivisonno, G Carle TechRxiv, 2023 | 5 | 2023 |
| Scalability of Distributed Intelligence Architecture for 6G Network Automation S Majumdar, R Trivisonno, G Carle ICC 2022-IEEE International Conference on Communications, 2321-2326, 2022 | 5 | 2022 |
| A Distributed Intelligence Architecture for B5G Network Automation S Majumdar, R Trivisonno, G Carle arXiv preprint arXiv:2107.13268, 2021 | 4 | 2021 |
| Improving Scalability of 6G Network Automation with Distributed Deep Q-Networks S Majumdar, L Goratti, R Trivisonno, G Carle GLOBECOM 2022-2022 IEEE Global Communications Conference, 1265-1270, 2022 | 3 | 2022 |
| Distributed Intelligence for Dynamic Task Migration in the 6G User Plane using Deep Reinforcement Learning S Majumdar, S Schwarzmann, R Trivisonno, G Carle TechRxiv, 2023 | 2 | 2023 |
| Distributing Intelligence for 6G Network Automation: Performance and Architectural Impact S Majumdar, R Trivisonno, WY Poe, G Carle ICC 2023-IEEE International Conference on Communications, 6224-6229, 2023 | 2 | 2023 |
| AI anomaly detection for cloudified mobile core architectures F Michelinakis, JS Pujol-Roig, S Malacarne, M Xie, T Dreibholz, ... IEEE Transactions on Network and Service Management 20 (2), 1976-1992, 2022 | 2 | 2022 |
| Towards AI-Native 6G Systems: Standards Enablers for 6G Network Automation S Majumdar, Q Wei, S Schwarzmann, R Trivisonno, G Carle | | 2024 |
| Distributed Intelligence for Automated 6G Network Management Using Reinforcement Learning S Majumdar, S Schwarzmann, R Trivisonno, G Carle NOMS 2024-2024 IEEE Network Operations and Management Symposium, 1-4, 2024 | | 2024 |
| Survey on Machine Learning-based Autoscaling in Cloud Computing Environments O Lemke, S Majumdar Network 55, 2022 | | 2022 |
| Modelling and Abstraction of Radio Access Network (RAN) States for Cognitive Network Management in 5G Cellular Networks S Majumdar Technical University of Munich, 2019 | | 2019 |
Georg CarleTechnische Universität München在 net.in.tum.de 的电子邮件经过验证
