… , virtualization and O-RAN, then we present the state-of-the-art research in multi-agent
systems and team learning as well as their application to O-RAN. We present a case …

… state-of-the-art research in multiagent systems and team learning, then we provide an …
virtualization, as well as O-RAN which emphasizes the open interfaces introduced by the O-RAN …

… In addition to O-RAN there might be other dissaggregated, virtualized, multi-vendor … team
goal. Compared with most existing multi-agent learning algorithms, members in team learning …

… Open Radio Access Network (ORAN) is being developed … -play learning strategy with a set
of baselines: a heuristic virtual … In multi-agent RL, multiple agents can be trained to work in a …

… open, softwaredriven, virtual, and intelligent radio access … multi-agent systems and
team learning schemes, before discussing how these schemes can be deployed on top of O-RAN …

… , radio access technologies (RATs) and cognitive radio have … for resource allocation in
virtualized wireless networks. An SE … We adopt its role in O-RAN, which is in line with the vRAN …

… the current status of O-RAN deployments, integrating both … from the O-RAN VNFs using the
O1 Virtual Event Streaming (… validation phase of the multi-agent DRL for EE enhancement is …

… Specifically, we develop EXPLORA, a lightweight O-RAN-compliant framework designed to
… Multi-agent team learning in virtualized open radio access networks (O-RAN). Sensors 22, …

… a centralized but shared and virtualized group of BBUs. Every … study challenges that
implementing a multi-agent solution on … The architectural content of this paper is based upon …

… Section IV presents the findings of the study highlighting the current position of Open RAN for
… ErolKantarci, “Multi-agent team learning in virtualized open radio access networks (o-ran),” …