Capacity analysis
Congestion found today and forecast twelve months ahead, cell by cell, with the cheapest fix that works for each: a parameter, a carrier or a new site.
Results
Congestion forecast ahead, cell by cell.
The cheapest fix that works: a parameter, a carrier or a new site.
At a glance
For
Capacity planning and optimization teams
Replaces
Spreadsheet capacity forecasts and new-site requests based on utilisation alone
Data used
PM counters, geolocated call traces, configuration data and traffic history
Runs on
Your cloud or on-prem, every major vendor, 2G to 5G
The problem
Capacity plans often start from utilisation thresholds. When a cell crosses the line, the default answer is more hardware, even when a parameter change or another carrier would have done the job.
Forecasts live in spreadsheets, so congestion is usually found when users already feel it.
How it works
Check the effect
After the change, the agent measures congestion and user experience on the cell and flags any cell that needs a further step.
Which cells in Madrid will be congested in the next twelve months, and what is the cheapest fix for each?
A list of cells with the forecast congestion date, the proposed fix (parameter, carrier or site) and its cost, ordered by impact on users.
Frequently asked questions
Does it always recommend a new site?
No. A new site is proposed only when a parameter change or a new carrier will not solve the congestion.
How far ahead does it forecast?
Twelve months, per cell, based on traffic history and seasonality.
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 forecast 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.”
See your congestion before your users do.
Bring one region. We run the agents on your data and show you the congested cells and the cheapest fix for each.
