The 6G-Cloud project participated in IEEE LCN 2025, held this year in Sydney. The event is one of the flagship IEEE conferences dedicated to computer networking and communication technologies, bringing together researchers, industry experts and practitioners to discuss advances that will shape the future of connected systems.

During the conference, Torsten Braun (Universität Bern) presented the paper “Reinforced Fairness-Aware Multi-Agent Self-Organization for 6G Radio Access Network Orchestration”. The work addresses the growing complexity of orchestrator deployment in 6G Radio Access Networks, where large-scale environments, dynamic conditions and varying user demands make centralised or hierarchical approaches increasingly insufficient.

The research introduces an online, fully decentralised Multi-Agent Reinforcement Learning (MARL) self-organisation system that enables cooperative agents to autonomously adapt orchestrator placement and activity in real time. By jointly optimising user throughput and fairness under changing network conditions, the approach offers a promising alternative to traditional orchestration models.

Presenting this work at IEEE LCN reinforces 6G-Cloud’s commitment to cloud-native, AI-driven architectures for the computing continuum. It also offered the project an important opportunity to engage with the international networking community, share ongoing research outcomes, and gather valuable feedback from experts contributing to the development of next-generation communication systems.