Autonomous network segmentation incorporates self-optimizing intelligence that continuously measures the performance of each segment and automatically adjusts 5G radio access network (RAN) policies. This ensures advanced service levels for enterprise, industrial, and consumer applications, even in demanding scenarios.
By using machine learning, du can ensure that network capacity meets the business objectives of enterprise customers in urban environments, completely autonomously and under any network conditions. Furthermore, based on data measured in areas with high user density, low-latency RAN policies can be automatically applied to segments targeting premium 5G gaming users.
Autonomous network segmentation relies on Nokia 5G AirScale base stations, the MantaRay SON self-organizing network solution, and the AI-based MantaRay AutoPilot system, which coordinates the operational intelligence of rApps. These elements are part of MantaRay SMO, Nokia's comprehensive solution for service management and orchestration, with automation and AI capabilities already validated in real-world environments.
Saleem Alblooshi, du's CTO, noted that this collaboration represents a significant step forward in delivering differentiated connectivity experiences, ensuring network performance and capacity for demanding customers and preparing for future technological developments such as 6G.
For his part, Mikko Lavanti, Nokia's senior vice president of Mobile Networks for the Middle East and Africa, highlighted that autonomous network segmentation allows telecom operators to differentiate services efficiently and with high levels of quality, facilitating the adoption and monetization of next-generation technologies.
