Towards Cognitive Service Delivery on B5G through AIaaS Architecture

TL;DR

This paper proposes an AI-enabled framework for B5G and 6G networks, enhancing network intelligence and automation through evolved NWDAF interfaces and distributed AI data analytics.

Contribution

It introduces a novel framework for evolving NWDAF with new interfaces and explores research directions for a distributed e-NWDAF in future networks.

Findings

Framework for AI-driven B5G network intelligence

Identification of interfaces for enhanced NWDAF functionality

Research directions for distributed e-NWDAF

Abstract

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.