Network Intelligence and Automation
Network intelligence and automation are crucial to the evolution of 5G, IoT and industrial digitalization. As 5G-enabled technologies develop, operators will need to increase their network capacity. But with additional capacity, comes additional complexity.
To meet these new challenges, we have introduced engineering solutions that combine machine learning and human ingenuity across our portfolio to enable networks to self-learn, self-optimize and deliver optimal user experience, allowing you to capitalize on the opportunities of 5G.
Network intelligence. Engineered.
The future lies in machines and humans engineering intelligence, together. ‘Network intelligence. Engineered’ combines the two, enabling operators to become the drivers behind the evolution to 5G.
Engineered network intelligence give operators the ability to scale-up and automate operations in parallel with the growth of their network, resulting in significant performance and efficiency advantages, such as a 2X faster inter-frequency handover time and up to a 30 percent reduction in dispatches of field technicians.
The time to implement a smart approach to 5G-enabled technologies has arrived.
- Reduce operational expenditure (OPEX) in future RAN transport by 50 percent by automating transport configuration to cope with the rising complexities in networks.
- Improve inter-frequency handover times by 2X with an AI-based handover, leading to fewer drop calls and a seamless end-user experience.
- Achieve energy efficiencies of up to 10 percent by using machine-learning algorithms that predict traffic patterns and put cells into dormant mode without impacting user experience.
- Accurately predict network traffic months in advance with an AI-enabled predictive model for traffic growth, and implement network impact analysis to address potential bottlenecks.
- Simplify field operations, including the building and troubleshooting of radio sites, which become significantly easier with Connected Technician
- Reduce field dispatches of on-site service technicians by up to 30 percent. By predicting risk malfunctions, Radio Site Analytics provides actionable recommendations directly to Network Operation Center personnel and field technicians.