Towards Cognitive Service Delivery on B5G through AIaaS Architecture
This work addresses the need for improved AI-driven network orchestration in future mobile systems, but it appears incremental as it builds on existing 3GPP specifications.
The paper proposes a framework to evolve the Network Data Analytics Function (NWDAF) for enhancing AI capabilities in B5G and 6G mobile networks, identifying research directions for a distributed implementation.
Artificial Intelligence (AI) is pivotal in advancing mobile network systems by facilitating smart capabilities and automation. The transition from 4G to 5G has substantial implications for AI in consolidating a network predominantly geared towards business verticals. In this context, 3GPP has specified and introduced the Network Data Analytics Function (NWDAF) entity at the network's core to provide insights based on AI algorithms to benefit network orchestration. This paper proposes a framework for evolving NWDAF that presents the interfaces necessary to further empower the core network with AI capabilities B5G and 6G. In addition, we identify a set of research directions for realizing a distributed e-NWDAF.