Table 4 AI/ML for 5G networks and beyond in standards [73]
Leading organization | Group name | Starting time | Purpose | Applications |
|---|---|---|---|---|
3GPP | NWDAF | March 2018 | Allow 5G operators to monitor the status of a network slice or third-party application performance | 5G core network data analytics |
5G PPP | CogNet | July 2015 | Build an intelligent system of insights and action for 5G network management | Autonomic network management based on machine learning |
FuTURE | Wireless big data for smart 5G | November 2017 | A white paper that collects a pioneering research works on big data for 5G in China | Boost spectrum efficiency and energy efficiency, improve the user experience and reduce the cost |
ITU | ML5G | November 2017 | Identify relevant gaps and issues in standardization activities related to ML for future networks | Interfaces, network architectures, protocols, algorithms, and data formats |
TIP | AI and applied ML | November 2017 | Define and share reusable approaches, proven practices, models and technical requirements for applying AI and ML | ML-based network operations, optimization and planning; customer behaviour-driven service optimization; and multi-vendor ML-AI data exchange formats |