Analysis of drive tests & drive test data

Driving tests and crowd-sourced analytics

Providing carrier-grade wireless network services needs a full view of actual service quality. Lacks of quality, e.g. by missing coverage have to be detected as well as local service degradations.

By measuring what a wireless network subscriber would experience in any specific area, wireless carriers can make directed changes to their networks that provide better coverage and service to their customers.

Driving and walking testing are methods of measuring local performances and to collect information for deep issue analysis. Crowd-sourced testing are using customers' smartphones as probes and provide a real customers' view.

Automatic drive test data classification

Network benchmarking and pro-active network optimisation need continuous and representative measurements. This is done today by black-box testing and by repeated and standardised driving tests. 

By these measurements huge amounts of data are produced and need to be analysed. Brown-iposs is developing a full set of tools and methods to classify and post-process the data automatically. Post-processing includes visualization, providing access tools for drill-downs, export to optimization databases, and several helping scripts.

Tools for measurement analysis need permanent maintenance and adaption, e.g. for new devices, new technologies, and new QoS-profiles. For more details on this please contact us.


Crowd-sourced measurement data

In co-operation with its partner jamp2 brown-iposs offers a full toolset for crowd-sourced measurements. By using  customer’s smartphones as probes, it determines the quality of a network as experienced by its customers. Therefore it reflects real experience and extend to places where drive tests never can go.

Using the power of statistics is allowing to create various types of heat maps and rating tables, from coverage and usage to trends and even manufacturer specific device qualification. Comprehensive analytics functions enable drilling into Big Data for graphs and reports. External interfaces allow the integration of 3rd party systems.


To analyse and measure last mile radio access networks based on GSM, UMTS, LTE and WiFi, brown-iposs developed a link measure system called bips.LiMeS. It is based on standard devices and enables coverage and quality measurement from a users' perspective.

The measurement system can be used for stationary and driving tests. Measurement results are tagged with its GPS-coordinate. Results can be exported in many ways, in particular kml is directly supported.

brown-iposs' offer:

  • Driving test data analysis
  • for GSM, UMTS, LTE, WiFi
  • Automated failure cause detection
  • Tool & database development
  • Crowd-sourced measurements
  • Analysis, investigations, studies

BIC-IRAP @ Cebit 2016

The co-operation network BIC-IRAP initiated by brown-iposs is presenting its ideas about indoor mobile Internet coverage for enterprises at Cebit 2016 at booth H6 C51.

BIC-IRAP is facing the challenges of:

  • Integration of WLAN and LTE beyond Hotspot 2.0
  • Multi-operator ability, transparent for customers
  • Multi-band usage, efficient utilisation of all radio spectra
  • Small Cells as a Service for medium-size indoor locations

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