| 2026 | NetSoft | EnSplit: Dynamic DRL Energy-Aware Split Inference for AI-Based UE Apps in 6G Networks. | Sayantini Majumdar, Eric Samikwa, Konstantinos Samdanis, Emmanouil Pateromichelakis, Elham Hashemi Nezhad, Torsten Braun |
| 2024 | NOMS | Distributed Intelligence for Dynamic Task Migration in the 6G User Plane using Deep Reinforcement Learning. | Sayantini Majumdar, Susanna Schwarzmann, Riccardo Trivisonno, Georg Carle |
| 2024 | NOMS | Distributed Intelligence for Automated 6G Network Management Using Reinforcement Learning. | Sayantini Majumdar, Susanna Schwarzmann, Riccardo Trivisonno, Georg Carle |
| 2022 | GLOBECOM | Improving Scalability of 6G Network Automation with Distributed Deep Q-Networks. | Sayantini Majumdar, Leonardo Goratti, Riccardo Trivisonno, Georg Carle |
| 2021 | GLOBECOM | Understanding Exploration and Exploitation of Q-Learning Agents in B5G Network Management. | Sayantini Majumdar, Riccardo Trivisonno, Georg Carle |
| 2020 | NOMS | Environment Modeling and Abstraction of Network States for Cognitive Functions. | Stephen S. Mwanje, Mrton Kaj, Sayantini Majumdar, Georg Carle |