Software-defined networking (SDN) has enabled the automation of the network management in various aspects such as planning, operation, maintenance and optimization. Autonomous networking (AN) proposed in TM Forum further upgrades the operation efficiency in these procedures.
This presentation introduces the challenges and key problems in the network management, and discusses how the intelligence could be applied to the operator’s procedure. Value-added use cases are illustrated with AI-enabled technologies. The best current practice is also involved in this presentation, based on standard architecture and data models specified in Internet Engineering Task Force and Broadband Forum (BBF). A test was conducted and the result shows that Level 3.5 is reached in three typical use cases for optical network management and maintenances.

The future of 5G/6G networks will see increased scale, complexity, and interconnectivity, driving demand for autonomous provisioning, network management, enhanced interoperability, and service federation. The need for end-to-end (E2E) service innovation and rapid delivery across various sectors is also rising. To meet these needs, a distributed open network federation platform is essential, enabling autonomous discovery of diverse networking resources and infrastructure.
This platform allows players to seamlessly innovate or deploy services using others' resources, swiftly utilizing these assets and managing costs. ICT networks must evolve towards knowledge plane (KPs) platform-centric networking. KP platforms for different segments can collaborate to provide rapid, cross-industry E2E innovative services, ensuring resilience and survivability.
This presentation will discuss the architecture and key technologies of a distributed open network federation platform, highlighting its role as an anchor for cross-sector federations. As a proof of concept (PoC), we will showcase AI/ML-enabled autonomous federations of private/public 5G/B5G services and networks, including real-world cases of intelligent transportation services such as C-ITS and C-V2X integration, providing real-time traffic information, optimization, and efficient emergency response.
Finally, we will explore stakeholder requirements for expanding this ecosystem and highlight collaborative efforts with NIST, including activities within the NIST-led MDKP PWG, as part of international standardization initiatives.

The development of human intelligence is closely linked to our perception of nature and the exchange of information. Artificial intelligence (AI) seeks to mimic human cognitive abilities, with communication technologies providing the backbone for information acquisition, processing and exchange. In the age of AI, the next generation of mobile communications networks (6G), will serve as the foundation for networked intelligence. This talk will focus on the convergence of AI and communication technologies at the network edge, and will address recent developments in the field of “semantic” and “goal-oriented” communication for edge intelligence applications. The aspects addressed include architectures for device-edge co-inference, AI-native radio interface design, and next-generation AI paradigms such as neuromorphic computing. The talk will discuss trade-offs between communication overhead, computation complexity and energy efficiency that are of relevance in the context of IoT and robotics applications.

Recently, there have been active discussions and research activities on innovative communication technologies to satisfy new requirements for future 6G cellular systems, in both industry and academia. In this session, we will introduce an overview of key 6G candidate technologies and recent discussions about new 6G spectrum. Specifically, we will discuss basic concepts, potentials, and key challenges for AI/ML based 6G communications as well as MIMO evolution for 6G.

UAM VIPP is a virtual environment platform designed to safely verify the appropriate technical standards and operational rules for the new transportation mode of UAM. The development process of the UAM flight simulator is shared. Given that UAM differs significantly from conventional helicopters and fixed-wing aircraft in terms of propulsion systems and operating environments, it introduces the development of interconnected automation technologies for aircraft operation, including the new control method known as Simplified Vehicle Operation (SVO). Additionally, various failure mode cases are analyzed to ensure safe urban flight and development strategies from the perspective of UAM aircraft are discussed. Finally, the integration of AI technology into the virtual platform to create a verification tool that simulates real-world environments and enhances the UAM ecosystem is explored.

Private 5G networks satisfy the telecommunication service requirements of highly heterogeneous vertical sectors. Combining technological evolution and flexibility, they transform mobile networks into controllable and tunable infrastructural assets for industrial, governmental, and commercial entities. This presentation is based on HPE's on-field experience, industrial perspective, and research and innovation activities. It includes references to the state of the art and relevant standards. It discusses private 5G-and-beyond use cases, highlighting how innovation at the hardware, software, and system level yields original solutions that exceed the capabilities of legacy mobile network generations. The presentation will prove how edge-to-cloud deployments and versatile architectural possibilities increase automation, robustness, security, and control capabilities of private networks, enabling communication services of the future.