AI adoption in 5G networks - Whitepaper

Communications service providers (CSPs) strive for relentless efficiency, business agility to address new revenue opportunities, and to meet or exceed customer expectations through a superior experience. This continues with the introduction of 5G programmable networks, [1] which enable new revenue-creating opportunities through both enhanced user experience as well as the tailoring of telecommunications networks to provide differential services for both existing and new types of enterprise customers (e.g Industry 4.0, Automotives, Fixed Wireless etc) . The introduction of new technologies as well as additional services for customers, the densification of networks to support macro and micro coverage, and the need to ensure services with differing requirements significantly increases the complexity. Artificial intelligence (AI) technologies have already matured to the point where CSPs have been applying them to their networks, often starting with non-time-critical processes, and are now applying them to the sensitive parts of their networks that directly impact user experience. The increased complexity of networks due to more services, new network technologies, and massive network densification further necessitates the application of AI in telecommunications networks as operations become more complex.