Degraded cells

Degraded cells

The worst cells across all KPIs, found continuously, each with the parameter or feature that fixes it, pre-validated on the digital twin.

Results

All KPIs

Every cell ranked continuously across the full KPI set.

Pre-tested

Every fix validated on the digital twin before it reaches the network.

At a glance

For

RAN optimization teams

Replaces

Worst-cell lists built by hand from KPI exports

Data used

PM counters, configuration data, alarms and geolocated call traces

Runs on

Your cloud or on-prem, every major vendor, 2G to 5G

The problem

Thousands of KPIs and alarms arrive every day. Engineers work on the cells that raise the most alarms, which are not always the ones that hurt users most.

The fix depends on who picks up the ticket, and changes go live without being tested first.

what an engineer can ask:

Which are the 50 worst cells in the network this week, and what fixes them?

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what comes back:

The 50 cells ranked by impact on users, the cause of each degradation and the change proposed, with its result on the digital twin.

Frequently asked questions

How is a fix validated before it goes live?

Each proposed change is first run on the digital twin, so your engineers see its expected effect before they approve it.

What happens if a fix does not work?

The agent measures recovery after the change. If KPIs do not improve, it proposes a rollback.

Which vendors and technologies does it support?

All major vendors and technologies, from 2G to 5G. The data from every vendor in your network is brought into one model before the agents work on it.

Does the platform change anything on the network by itself?

No. The agents rank, test and propose. Your engineers decide, and changes go through your own systems.

“O2 climbed one position in independent rankings after deploying our anomaly detection and root cause analysis engines.”

Find your worst cells on your own data.

Bring one region. We run the agents on your data and show you the worst cells and the fix for each.