|

RAN Intelligence Case Study

RAN Intelligence

The Problem

  • How to manage Repetitive RAN optimization tasks that are time-consuming and resource-intensive for example:
    • Tasks that trigger changes, like cell and node level reconfiguration, once congestion is detected
    • Or identifying most suitable cells to carry out with traffic when a site fails and perform changes to improve coverage

The Solution

  • SmartCM provides a framework for automation of optimization tasks, where RAN tasks can be fully automated, from issue detection to generating scripts, load changes, and even rollback once the issue vanishes
  • Our customer, for example, implemented load balancing for congestion relief and benefits from the resolution of these issues with zero effort

The Benefits

  • Automating manual activities can improve ROI up to 80%/year
  • MNOs can achieve a reduction of around 35% in RAN engineering effort
  • Low-code automation framework eases creation and testing of new algorithms, increasing speed to production with earlier impact on subscriber experience

Similar Posts