Smartly optimize your RAN with automated root cause analysis powered by AI/ML analytics to save costs and improve service quality. Prioritize customer-affecting degradations by correlating RAN and core data to create real-time subscriber analytics.

Comprehensive RAN analysis

Offering real-time and historical insights to optimize traditional RAN, vRAN, and O-RAN performance. Providing insights such as slow connection time, mobility performance, radio link failures, and inadequate indoor and outdoor coverage.

From low to high-band frequencies

RADCOM’s solution supports low, medium (including C-band), and high-band frequency bands. Providing KPIs and KQIs for all 5G RAN enables you to optimize your mmWave and sub-6 GHz band deployments. Smartly monitor handovers and transitions from cells to optimize the 5G customer experience.

Automated Root Cause Analysis (RCA) with AI/ML-powered analytics

Collects multiple feeds (performance metrics, metric classifications, RAN configurations, and UE positioning) to automate root cause analysis for the RAN.

  • Adopt a more automated and efficient approach to RAN optimization
  • Use AI-powered analytics to detect RAN anomalies
  • Save engineers time in pinpointing RAN degradations
  • Help RAN teams become more efficient

Prioritize issues according to the customer experience

By correlating core and RAN data, RADCOM’s solution provides operators with a better understanding of where there are customer-affecting network degradations and how to resolve them. 


  • Automate RAN monitoring and optimization
  • Plan, optimize, and deploy RAN for 5G
  • Pinpoint 5G coverage holes and adoption trends  
  • Include RAN data in your overall service assurance solution

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