Federated Meta-Learning for Traffic Steering in O-RAN

no code implementations • 13 Sep 2022 • Hakan Erdol, Xiaoyang Wang, Peizheng Li, Jonathan D. Thomas, Robert Piechocki, George Oikonomou, Rui Inacio, Abdelrahim Ahmad, Keith Briggs, Shipra Kapoor

In order to provide such services, 5G systems will support various combinations of access technologies such as LTE, NR, NR-U and Wi-Fi.

Management Meta-Learning

Transmit Power Control for Indoor Small Cells: A Method Based on Federated Reinforcement Learning

no code implementations • 31 Aug 2022 • Peizheng Li, Hakan Erdol, Keith Briggs, Xiaoyang Wang, Robert Piechocki, Abdelrahim Ahmad, Rui Inacio, Shipra Kapoor, Angela Doufexi, Arjun Parekh

The model will also be used as the base model for adaptive training in the new environment.

reinforcement-learning Reinforcement Learning (RL)

Sim2real for Reinforcement Learning Driven Next Generation Networks

no code implementations • 8 Jun 2022 • Peizheng Li, Jonathan Thomas, Xiaoyang Wang, Hakan Erdol, Abdelrahim Ahmad, Rui Inacio, Shipra Kapoor, Arjun Parekh, Angela Doufexi, Arman Shojaeifard, Robert Piechocki

One of the main reasons is the modelling gap between the simulation and the real environment, which could make the RL agent trained by simulation ill-equipped for the real environment.

Data Interaction reinforcement-learning +1

RLOps: Development Life-cycle of Reinforcement Learning Aided Open RAN

no code implementations • 12 Nov 2021 • Peizheng Li, Jonathan Thomas, Xiaoyang Wang, Ahmed Khalil, Abdelrahim Ahmad, Rui Inacio, Shipra Kapoor, Arjun Parekh, Angela Doufexi, Arman Shojaeifard, Robert Piechocki

We provide a taxonomy for the challenges faced by ML/RL models throughout the development life-cycle: from the system specification to production deployment (data acquisition, model design, testing and management, etc.).

Management reinforcement-learning +1