One of our customer required our help to build up an in-train PERFORMANCE MONITORING SYSTEM to measure KPI and KQI, 24/7, of their offered coverage.
Working closely with our partner and customer’s staff, after dedicated test sessions, laroccasolutions delivered a custom solution totally integrated with Metricell Smart Tools.
Of course, we had to find a solution about Power Supply (Railways Standards) and about GPS due to the in-train shielding problems.
Finally, we have been able to collect right measures and project all measurements collected into their GIS Platform to perform analysis of KQI and KPI and dedicated optimization.
In-Train Performance Measurement
What We Did
Measurement System Installation & Setup
Analysis, Optimization & Reports Production
laroccasolutions, working closely with MNO and Railways Italian Companies, decided to use Automobile APP as probe.
A dedicated power supply has been build to connect two mobiles that run the preset script. The script has been created to measure SIGNAL COVERAGE, INTERFERENCE & THROUGHPUT DL/UL. Furthermore, thanks to dedicated algorithms we have been able to identify Overshooting & Cross-Feeders issue.
In order to compare the performances in a benchmarking way, measurements are constantly carried out along the railway route by simultaneous test on 2 different MNO band.
The GPS as well has been an issue to solve. In fact, all new High SPeed Train are shielded and the GPS positioning is not so simple to fix and, of course, not so quick.
This means that under this condition, if a mobile will lose 10 minutes the GPS lock, at 300Km/h speed, will have an hole about 50Km…
In fact, Automobile APP is triggered by 3 conditions to perform measurements: GPS locking, Plugged Power and non stationary position. Of course, all the condition has an hysteresis cycle.
Statistical analysis of the detected values, in order to improve the margin of error, was carried out using a logarithmic average.
Pave The Way To A Smarter RAN
Consider the automated, ‘behind the scenes’ correlation of data from Metricell’s mobile quality agents with network configuration, parameter and coverage data.
By comparing geo-located field data with the network configuration data sets, our Smart algorithms can automatically determine:
Cells which appear to have crossed feeders
Cells with overshooting coverage
‘Sleeping’ or underperforming Cells
- FAIL RATE: Number of fails to Download the reference file
- DROPS RATE: Number of drop during normal download of the reference file
- SUCCESS RATE: Number of Completed Download
- Mean DATA RATE: Downlink & Uplink
- Technology Distribution: Distribution of use by Technology
- SERVICE ACCESSIBILITY
- CSFR – CALL SETUP FAILURE RATE (%)
- CSS – CALL SETUP SUCCESS RATE (%)
- CSR – CALL SUCCESS RATE (%)
- CDR – CALL DROP RATE (%)
- CFR – CALL FAILURE RATE (%)