Obstacles such as operational complexity, lack of scalability, high costs and massive computational requirements have held 5G back. AI is poised to change this narrative, eliminating the gap between all the buzz and the reality of emerging 5G trends.
To meet modern performance demands, 5G networks will require a new take on
quality of service (QoS). AI integration provides a compelling answer in the form of
PreQoS, with the ability to predict data rate requirements and ramp up resource allocation efficiency.
The power of AI and machine learning (ML) can make
self-healing networks a reality: optimizing, predicting and automatically intervening when an anomaly is detected.
As organizations accelerate 5G adoption, there's also a pressing need for a multi-vendor open environment that enables seamless integration.
Open Radio Access Network (Open RAN), augmented with AI/ML, can help organizations simplify operations and pave the way for innovations in automation, energy conservation and network enhancement.
Service providers rely on
network slicing for segmenting 5G networks to support specific services and deploy multiple logical networks over one common infrastructure. AI can transform network slicing from reactive to proactive, making 5G networks more agile and flexible while unlocking new monetization opportunities.