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@@ -8,10 +8,6 @@ Measurements and a 3D City Model."**
 
 submitted for publication in IEEE Access.
 
-It includes all the necessary code and data to reproduce the presented network planning scenarios.
-Thus, it also includes the models trained on the extensive drive-test campaign. 
-Interested researchers are invited to also deploy them in other settings.
-
 # Preparing the Repository
 
 In order to run the scenarios it is required to download the exemplary environments using the following [link](https://owncloud.tuwien.ac.at/index.php/s/APFp9z2YCPFVb2D). 
@@ -21,3 +17,5 @@ The obtained `environment/` folder with all contained files has to be stored on
 
 The `main` function in `run_scenario.py` runs all scenarios defined in the `scenarios/` folder. 
 Each scenario contains a `config.json` file where parameters such as the height of the base station `h_bs`, the horizontal `phi_sec_h` and vertical `phi_sec_v` sector orientation as well as transmit power and frequence can be adapted. 
+Per default, the `run_scenario.py` will generate all the scenarios presented in the paper. Note, that the uniform antenna patterns are specified through `phi_sec_h=null`.
+We encourage interested readers to adapt the scenario configurations or to apply the trained models to their own use-cases altogether. 
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