Keysight Nemo 5G RAN Analytics software is based on a centralized web-based data management platform for enterprise-level analysis and reporting. It enables operators, service providers, and network equipment manufacturers (NEMs) to accelerate network adoption, optimization, debugging, and performance evaluation. Nemo 5G RAN Analytics combines data analysis, utilizing artificial intelligence (AI) and machine learning (ML) environments, with an intuitive user interface (UI) to efficiently manage large amounts of data captured across a live 5G network.

“The global intensification of 5G network deployments from multiple vendors is driving a need for synchronized data management tools that simplify access to interactive visualizations and accelerate the loading, processing, analysis, and reporting of large volumes of data,” said Petri Toljamo, vice president and general manager for Nemo wireless networking solutions at Keysight. “By improving the efficiency of the data analytics workflow, Nemo 5G RAN Analytics supports seamless deployments of a wide range of 5G services across diverse network topologies.”

Available as Software as a Service (SaaS), Nemo 5G RAN Analytics integrates seamlessly with other Keysight Nemo solutions such as:

Combined, Keysight's Nemo solutions make it easy for users to quickly and reliably upload field-captured data and share a common analytics reporting setup across the organization.

Centralizing data associated with a wide range of field measurements simplifies access to key data for point-in-time reporting, root cause analysis, and other cross-functional activities across the organization. Keysight's Nemo 5G RAN Analytics makes it easy for users to automate a wide range of these activities, including:

  • Data rate analysis, radio frequency (RF) and voice performance
  • Network problem identification and root cause analysis
  • Remote network monitoring in near real-time 
  • Evaluation of mobile device and network performance
  • Creation, management and distribution of customized reports and data graphs
  • Analysis of the performance of applications such as YouTube, Facebook, WhatsApp, and Twitter.