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Blog
20 October 2025
Author
How can AI/ML complement analytics data to enhance mobile experience in the crucial radio access domain? Gain new insights here!
Blog
20 October, 2025
Author
Mobile Signal Strength Isn’t Static
All well and good, but there’s another wrinkle that we need to consider: mobile signal strength in each cell isn’t static; it’s a dynamic phenomenon.
Factors such as tree and leaf coverage, buildings, rainfall, snow, and more, impact mobile signal coverage. User experience may vary depending on their location in a cell, despite optimization efforts based on analytics.
Location Reporting for User Equipment
If we could understand where users are in each cell, we could add contextual information to our RAN optimization programs, enabling us to further refine coverage or to enhance troubleshooting.
To accomplish this, we need to know the location of each User Equipment (UE).
How AI/ML Can Help Bridging the Gap
Unfortunately, not all UEs provide location reports to the network. However, AI/ML can help us to close this gap. That’s because we can train ML models on data captured by RAN monitoring solutions, covering both classical and Open variants, some of which include latitude and longitude, as well as other information such as RSRP, RSRQ, TA, Cell ID, and more. By comparing these data with that where location information is absent (but RSRP etc. present), the ML model can be trained to infer position for UEs that do not report latitude and longitude. With sufficient data, we can predict where UEs are in cells.
That knowledge can be matched to topography, building information, leaf coverage, real-time or expected weather conditions, and all those other factors that impact mobile radio signals.
Armed with this information, we can now fine-tune cellular coverage to deliver more consistent experiences, based on context and dynamically changing conditions that impact mobile subscribers.
Summary: AI/ML Ramping Up Mobile Experiences
The application of AI and ML to mobile networks is in its infancy, but this work shows how use cases for its adoption can deliver insights to enhance the experiences mobile subscribers enjoy. Such novel applications can make all the difference to mobile operators that are competing to offer the best experiences to their customers where it really matters – in the RAN.
This article was originally published in The Fast Mode's exclusive Open RAN segment.
RAN Monitoring
Achieve a 360° view of customer experience with full network visibility, from core to radio.
Our geolocation-aware RAN monitoring enhances Customer Experience Assurance, enabling deeper root cause analysis of radio performance.
RAN Monitoring
Achieve a 360° view of customer experience with full network visibility, from core to radio.
Our geolocation-aware RAN monitoring enhances Customer Experience Assurance, enabling deeper root cause analysis of radio performance.
