Find coverage holes, classify errors and develop solutions for them: AnalyTo, the software and support solution for georeferenced mobile network optimization from brown-iposs GmbH, is used by operators of 4G and 5G mobile networks to provide the most comprehensive network coverage possible. With the new version now launched, the company, which specializes in software and integration services for mobile and IoT networks, offers a significantly increased level of automation as well as more options for integrating additional data sources.

Mobile networks are becoming increasingly complex

“Network operators face the challenge of parallel growing and running networks. 4G, 5G and even already 6G are operated simultaneously or are under development, which leads to a high complexity of network structures,” says Dr. Bernd Schröder, founder and CEO of brown-iposs. “Manual mobile network optimization is practically not feasible anymore.” To support georeferenced optimization, brown-iposs has developed AnalyTo, which has now been released in version 50.

AnalyTo finds, classifies and corrects errors

The new version now released has been optimized in all areas. “We have been continuously developing AnalyTo since its launch almost 15 years ago and regularly provide our customers with innovations. As a small, agile company, we are able to orient ourselves very closely to their requirements, which we determine in regular meetings and intensive exchanges,” says Dr. Bernd Schröder. One of the most important current innovations in the solution is the increased level of automation.

AnalyTo automates error detection, analysis and evaluation of network coverage measurements. These measurements simulate transactions, i.e. data transfers such as telephony, downloads or streaming, and record any errors that occur. The brown-iposs solution identifies these errors using AI methods such as pattern recognition and classifies them in order to subsequently propose suitable solution options. The collected data is automatically fed into the live network. “Suitable solution proposals are assigned to the more than 220 defect classes, which are implemented without human intervention,” explains Dr. Bernd Schröder. “AnalyTo also automatically checks afterwards whether the situation has really improved and, if not, takes further action.”

Additional interfaces for the integration of further data sources have also been added. In particular, AnalyTo can access crowdsourced data and GeoRAN data and evaluate them in a targeted manner. Network condition data, planning data or network performance data are further examples and contribute to providing even more depth of information. Network operators benefit because faults can be detected more precisely and thus corrected more quickly and reliably.

Automation rate will constantly increased

Already now the brown-iposs team is working on further new features for AnalyTo. The ultimate goal is to achieve full automation in the coming years. “Increasingly, the shortage of skilled workers is becoming a noticeable challenge in network expansion and optimization. That is why new functions for automation are prioritized in all of our development areas,” explains Dr. Bernd Schröder.