UNITY-6G partners publish a paper about the orchestration of a distributed 5G cloud-native mobile network

UNITY-6G partners Jorge Baranda (CTTC), Javier Velázquez Martínez (TID), Albert Bel (CTTC), David Gregoratti (SRS), Luis M. Contreras (TID), Josep Mangues-Bafalluy (CTTC) unveiled their recent paper “Full Orchestration of a Distributed 5G cloud-native Mobile Network: O-RAN, Core, and Transport” at the 11th IEEE International Conference on Network Softwarization (IEEE NetSoft 2025) held on June 23–27 2025, in Budapest, Hungary.

Abstract—Novel networking paradigms based on programmability and softwarization are deeply transforming the architecture and end-to-end management of next-generation mobile networks. This demonstration provides a step beyond in this transformation process by showcasing the full cloud-native deployment of a disaggregated and distributed 5G mobile network from core to Radio Access Network (RAN) using open-source software. The distinguishing features of the proposed approach are that the orchestration process includes the use of a cloud-based Distributed Unit (DU) communicating through O-RAN Split 7.2 with a Radio Unit (RU) performing over-the-air transmission, the end-to-end configuration of slices with on-demand activation of core network function components, and the dynamic configuration of transport network flows to differently route the traffic of active slices.

Explore the full paper.

About IEEE NetSoft

The IEEE International Conference on Network Softwarization (IEEE NetSoft) is a premier event dedicated to addressing the advanced research challenges and opportunities presented by the “softwarization” of networks. This trend has profoundly transformed the networking field and accelerated its convergence with adjacent industries. Launched in April 2015 in London as an outcome of the IEEE’s SDN Initiative, NetSoft has since established itself as a well-recognized conference. The 2025 event was held in Budapest, Hungary, centered around the theme of “Sustainable and secure networks for distributed AI and compute.”

more insights