MonB5G paper presented in IEEE INFOCOM 2023

The demo paper entitled “A Multi-Agent Deep Reinforcement Learning Approach for RAN Resource Allocation in O-RAN” was presented by Dr. Lanfranco Zanzi (NEC Laboratories Europe GmbH, Germany) and Dr. Sergio Barrachina-Munoz (Centre Tecnologic Telecomunicacions Catalunya, Spain), during the Demo Session at IEEE INFOCOM 2023 on the 17th of May 2023.