An academic study addressing the management architectures of 6G and beyond communication networks, prepared with contributions from Odine engineers and Ege University academics, has been published in the prestigious IEEE Open Journal of the Communications Society, one of the leading journals of the Institute of Electrical and Electronics Engineers (IEEE), a globally recognized authority in electrical, electronics, and communications engineering.
The increasing complexity of next-generation communication infrastructures, the need for ultra-low latency, and the emergence of hyper-connected ecosystems with billions of simultaneously connected devices are making new approaches to network management essential. In this context, the study provides a comprehensive perspective on how network management and orchestration (MANO) architectures should evolve for 6G and beyond.
The research examines in detail the role of cloud and edge computing integration, the joint management of terrestrial and non-terrestrial networks, and AI-driven management approaches in shaping next-generation network architectures.
The study highlights that AI-powered control mechanisms, intent-based network management, edge-native management models, and autonomous orchestration will become increasingly critical in the communication infrastructures of the future.
By addressing multi-layered network architectures spanning radio access networks, transport networks, core networks, and IoT layers, the paper analyzes key challenges such as scalability, security, and cross-domain interoperability. It further demonstrates how artificial intelligence and machine learning, digital twin technologies, and standards-based collaboration can play a transformative role in addressing these challenges. The importance of redesigning network management architectures around automation, autonomy, and adaptability is also emphasized.
This study, conducted by Odine engineers and Ege University academics, presents a forward-looking research perspective and a future agenda for developing more agile, scalable, and energy-efficient architectures for managing 6G and beyond networks.
This academic contribution not only supports the dissemination of ongoing work in next-generation communication infrastructures, AI-driven network management, and advanced R&D on international scientific platforms, but also reinforces the importance of collaboration between industry and academia.
