cellular_network_map
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cellular_network_map [2015/07/20 01:38] – [2- Method of Operation] samer | cellular_network_map [2015/07/20 15:58] – [5- Eye Candies] samer | ||
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3. Go to [[http:// | 3. Go to [[http:// | ||
- | 3- Launch the coordinate generation script: | + | 4. Launch the coordinate generation script: |
python antenna-coordinate-generation.py 75014 orange 4G | python antenna-coordinate-generation.py 75014 orange 4G | ||
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* The last argument is the network type: 2G - 3G - 4G | * The last argument is the network type: 2G - 3G - 4G | ||
- | 4- Watch back and enjoy! | + | 5. Watch back and enjoy! |
+ | |||
+ | ===== -- Output at a Glance ===== | ||
+ | The output of the automation tool consists of three files: | ||
+ | * A command file '' | ||
+ | * A figure plot of the antenna positions '' | ||
+ | * A figure plot of the Voronoi diagram (the set of points in the geographic area closer to each antenna) '' | ||
+ | |||
+ | [{{ : | ||
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+ | [{{ : | ||
+ | ===== -- Scientific Work ===== | ||
+ | |||
+ | We used the antenna positions generated by the automation tool in our work entitled '' | ||
+ | |||
+ | [{{ : | ||
+ | ===== -- Eye Candies ===== | ||
+ | The automation tool can be used in different scenarios. For instance, in order to illustrate the densification of the network deployment, a comparative study can be performed on the 2G, 3G, and 4G networks. The case of the city of Rennes is presented hereafter. | ||
+ | [{{ : | ||
+ | [{{ : | ||
+ | [{{ : | ||
+ | |||
+ | ===== -- Raw Data ===== |
cellular_network_map.txt · Last modified: 2015/07/20 17:33 by samer