InfoNet specializes in providing geo-analytical information services to mobile operators based on cellular networks operation data.
Data is collected by agent applications installed on mobile phones and smartphones of subscribers. Mobile applications act as agents.
Communication in buildings
We show how cellular networks performance inside buildings
Communication on the street
We show how cellular networks performance on roads and outdoors
Comparison of operators
We show the difference in cellular networks performance inside buildings and on the street
What can “Mobile Network Quality Analytics” do
Estimate the coverage quality of GSM, UMTS and LTE networks
Determine whether a subscriber is inside buildings or outside
On street coverage display is similar to traditional drive tests
Identify the coverage within specific buildings and display them on map
Calculate KPI (Key Performance Indicators) for coverage
Compare quality of networks performance for different operators, visually and by KPE
Visualize information or provide it as data sets
“Mobile Network Quality Analytics” service positioned as an addition to traditional methods of network planning and field measurements.
Significantly reduces the amount of work and improves the interaction of technical and non-technical services of operator.
Mobile Network Quality Analytics Applications
Indoor Network Quality for all buildings for all operators
Roads/Outdoor Network Quality for all operators
Competitive market analytics
Number of each operator subscribers in city objects
Real-Time Quality monitoring for key city objects
Call Centre DB indoor objects historical quality data
How it works?
We are collecting the depersonalized data from End User Mobile Applications
Collected data is aggregated and being processed with innovative data mining algorithms
Visualization of investigation results
What is the accuracy and size of data sample
The ability to receive information about cellular network depends on the penetration of application agents in each specific region.
CASE STUDY: CITY OF MOSCOW
The conditional square 7x8 kilometers in the city of Moscow has the following parameters of statistical sampling:
59 000 000 - total number of samples
50 000 000 - number of samples with possibility of referring to the category "on the roads" or "in the building"
39 000 000 - number of samples with possibility of referring to the category "on the roads"
11 000 000 - number of samples with possibility of referring to the category "in the building"
4 000 000 - number of samples of "in the building" category with unique binding to address
16 000 - number of buildings in the conditional square (structures of any type, including uninhabited ones)
11 000 - number of buildings where the quality of the UMTS network is determined
8 000 - number of buildings where LTE network quality is determined
7 000 - number of road sections (of any type, including yard passages)
5 000 - number of road sections where the quality of the UMTS network is determined
5 000 - number of road sections where LTE network quality is determined
Roadmap “Mobile Network Quality Analytics”
Increasing the number of "in-building" samples and the accuracy of their reference to the address - will reduce the time intervals for formation of coverage maps and will allow estimating the number of subscribers for "in the building" category.
Reliable determination of the number of subscribers "on the roads" and "in the building" will allow to evaluate the potential effect of operator's efforts to promote services and expand network or from release of individual network elements.
Determining the quality of "Data transfer" service - will allow to show the real availability of the service to end users.