With a subscriber-centric approach, NITRO Mobile captures, locates, and analyzes all mobile events across the entire RAN and core network, correlating them by location and application. This provides operators with insights to optimize the customer experience and generate new revenue streams. Automated intelligence enables context-driven workflows for faster troubleshooting, identifying related parameters and KPIs to quickly and efficiently uncover the root cause of specific service issues. The NITRO Mobile solution family includes NITRO Mobile Intelligence, NITRO Mobile Assurance, and NITRO Mobile Optimization.
Specific applications for NITRO Mobile include:
• Ensuring the quality of subscriber experience (QoE) for individual services that require resources or parameters other than the network
• Providing in-depth insights into devices, locations, services, and IoT connection usage to minimize the impact on the overall customer base
• Optimizing the C-RAN by correlating data from the RAN, core, front-backhaul, and air interface to provide intelligence throughout the network lifecycle
• Developing new revenue streams by monetizing the suite of rich analytics available to marketers.
“Today’s service providers need more than just network monitoring. Learning, intelligence, and automation are crucial to enabling service assurance as networks evolve to 5G,” said Patrick Kelly, Principal Analyst, Appledore Research Group. “With the increasing use of IoT, AI, and narrowband machine learning over the next few years, comprehensive analytics and insights will enable service providers to manage increasingly complex network and service ecosystems, from deployment to service delivery.”.
“NITRO Mobile scales and virtualizes VIAVI probes, agents, and instruments to optimize mobile networks and services with greater automation, real-time analytics, and next-generation security,” said Steve Urvik, Vice President and General Manager of Visibility, Intelligence, and Analytics at VIAVI Solutions. “Increased automation of workflows and service lifecycles, combined with real-time data, provides the vital tools mobile operators need to reliably evolve to future networks and meet the challenges of virtualized and hybrid network environments.”.
