Conference
Jul 2026
A Digital Twin-Based Deep Reinforcement Learning Framework for Adaptive Scheduling in 5G/6G Networks
The transition toward AI-native 6G networks requires intelligent, adaptive, and reliable control mechanisms capable of handling highly dynamic and heterogeneous environments. In this context, reinforcement learning has emerged as a promising approach for optimizing network performance. However, existing works often foc...
Naima Mchiri, Rachid Zagrouba, E. Zagrouba
· International Conference on... · 0 citations