Providing superior application experiences for users across 4G and 5G networks requires mature, 3GPP-compliant application and network intelligence solutions that not only integrate with current 4G networks but also seamlessly fit into a cloud native 5G service-based architecture (SBA). That is the challenge for a Western European operator that is rapidly growing its 5G Fixed Wireless Access presence and both 4G and 5G Standalone (SA) applications and services. This operator is known for exceeding customer expectations as Europeans have relied heavily on its services for remote work, learning, and entertainment. Continuing to deliver on these expectations is top of mind as the operator rolls out 5G services.
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In order to simplify multivendor, multiaccess integrations and tackle video streaming management, application optimization, and congestion management, the operator chose Sandvine’s 4G, 5G SA, and Fixed Wireless Access solutions including:
- ActiveLogic Hyperscale Data Plane powered by a machine learning-based traffic classification engine
- Performance Monitoring and Analysis, and Service and Subscriber Analysis use cases
- Active Network Intelligence (ANI) Portal to visualize trends at an application, network, service, location, and customer segmentation level
- Maestro Policy Engine for universal policy control and automation of the converged network
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Lyn Cantor, CEO, Sandvine said: “We are excited that our application and network intelligence portfolio has been chosen by this innovative Western European operator to ensure high-quality application experiences for consumers and enterprises across its 4G, 5G Standalone, and Fixed Wireless Access networks. This win highlights our expertise in integrating with multivendor and multigenerational mobile core networks. This will be especially important as operators deploy Sandvine’s new, cloud native 5G Service Intelligence Engine, an enhanced Network Data Analytics Function that provides the contextual application, quality of experience, and user awareness essential to automating 5G network slices.”
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