7 citations · 12 across the 5 of their papers we have counts for
3 papers · 1 filter
Towards Practical Operation of Deep Reinforcement Learning Agents in Real-World Network Management at Open RAN Edges
Haiyuan Li, Hari Madhukumar, Peizheng Li +6
Deep Reinforcement Learning (DRL) has emerged as a powerful solution for meeting the growing demands for connectivity, reliability, low latency and operational efficiency in advanc…
DRL-Assisted Dynamic QoT-Aware Service Provisioning in Multi-Band Elastic Optical Networks
Yiran Teng, Carlos Natalino, Farhad Arpanaei +4
We propose a DRL-assisted approach for service provisioning in multi-band elastic optical networks. Our simulation environment uses an accurate QoT estimator based on the GN/EGN mo…
NetMind: Adaptive RAN Baseband Function Placement by GCN Encoding and Maze-solving DRL
Haiyuan Li, Peizheng Li, Karcius Day Assis +5
The disaggregated and hierarchical architecture of advanced RAN presents significant challenges in efficiently placing baseband functions and user plane functions in conjunction wi…