Coverage plans with geoanalytics
Bad- and no-coverage zones found from geolocated traces of real users, ranked by people affected and NPV, with every proposed site previewed before you commit.
Results
More road kilometres under continuous watch, from network traces instead of drive tests.
Drive tests, replaced by geolocated traces from real users.
Faster planning decisions.
At a glance
For
Radio planning and network investment teams
Replaces
Drive-test campaigns and coverage predictions from planning tools
Data used
Geolocated call traces, network topology, population and open data
Runs on
Your cloud or on-prem, every major vendor, 2G to 5G
The problem
Coverage plans are usually built on planning-tool predictions and drive-test campaigns. Both describe the network as designed, or the roads a car could cover, rather than where users actually are.
The result is CAPEX that goes where the model says. Areas with many affected users can wait years, while sites go up where the prediction looked worst.
How it works
Track the result
Once a site is live, the agent measures the coverage gained against the preview and updates the ranking for the rest of the plan.
Show the 20 bad-coverage zones in the northern region with the most people affected, and the site that would fix each one.
A ranked list of zones with people affected, NPV and the proposed site for each, with the what-if preview of coverage after the build.
Frequently asked questions
Does it replace drive tests for coverage planning?
For most planning decisions, yes. Coverage is measured from the traces of real users, so field campaigns are needed only for specific checks.
How are the zones ranked?
By the number of people affected and the net present value of fixing them, so investment goes first where it reaches the most users.
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.
What data do you need from us?
Call traces, network topology and site data. The platform runs on your cloud or on-prem, so the data stays on your infrastructure.
Where has it been used?
With MasOrange, Telefónica and Orange on their live networks. MasOrange put 160,000 km of roads under continuous watch instead of 14,000.
“O2 climbed one position in independent rankings after deploying our anomaly detection and root cause analysis engines.”
Find where your next sites should go.
Bring one region. We run the agents on your data and show you the zones ranked by people affected and NPV.
