Method and test system for mobile network testing as well as a network testing system

A method for mobile network testing by using at least one testing device configured to be connected to a mobile network, comprising:

• providing a network testing system configured to complete missing information on an already present heat map by running a trained machine learning model, wherein the trained machine learning model is configured to predict heat map information in order to fill empty areas of an incomplete heat map with respective information;
• performing a single test by using the at least one testing device;
• evaluating the test result of the single test, wherein the test result corresponds to a heat map with missing information;
• and
• obtaining the missing information for the heat map of the test result from the network testing system to form a complete heat map, wherein the missing information is completed by the trained machine learning model.

A network testing system for outputting a complete heat map, comprising:

• a processing unit configured to run a machine learning model, wherein the machine learning model is trained by:
• running a predefined set of test procedures on at least one testing device for generating at least one heat map assigned to a mobile network, the test procedures running on the at least one testing device simulating the behavior of participants of the mobile network;
• evaluating the test results of the test procedures via a machine learning model;
• and
• training the machine learning model to complete missing information on an already present heat map based on the test results obtained, the machine learning model being trained such that the trained machine learning model is configured to predict heat map information in order to fill empty areas of an incomplete heat map with respective information.