cellular_network_map
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cellular_network_map [2015/07/20 15:13] – [3- Output at a Glance] samer | cellular_network_map [2015/07/20 17:29] – [2- Method of Operation] samer | ||
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1. Download or fork my repository from [[https:// | 1. Download or fork my repository from [[https:// | ||
- | 2. Launch the crawler script from your command line. The argument of the script corresponds to the postal code as in: | + | 2. Launch the crawler script from your command line. The argument of the script corresponds to the French |
python antennes-mobiles-crawler.py 75014 | python antennes-mobiles-crawler.py 75014 | ||
- | You should obtain a text file named '' | + | You should obtain a text file named '' |
66007; 2G 3G 4G; BOUYGUES TELECOM; 1995-09-01; 2014-09-26; 156 R LÉON MAURICE NORDMANN; 75013; PARIS-13E--ARRONDISSEMENT; | 66007; 2G 3G 4G; BOUYGUES TELECOM; 1995-09-01; 2014-09-26; 156 R LÉON MAURICE NORDMANN; 75013; PARIS-13E--ARRONDISSEMENT; | ||
351124; 2G 3G 4G; BOUYGUES TELECOM; 2004-08-20; 2014-12-05; 22/24 R DU FAUBOURG ST JACQUES; 75014; PARIS-14E--ARRONDISSEMENT; | 351124; 2G 3G 4G; BOUYGUES TELECOM; 2004-08-20; 2014-12-05; 22/24 R DU FAUBOURG ST JACQUES; 75014; PARIS-14E--ARRONDISSEMENT; | ||
- | The only missing information is the geographic position of the antennas. For this, you need the information | + | The only missing information is the exact geographic position of the antennas. For this, you need data from [[http:// |
3. Go to [[http:// | 3. Go to [[http:// | ||
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5. Watch back and enjoy! | 5. Watch back and enjoy! | ||
- | |||
===== -- Output at a Glance ===== | ===== -- Output at a Glance ===== | ||
- | The output of the previous script | + | The output of the automation tool consists of three files: |
- | * A command file '' | + | * A command file '' |
* A figure plot of the antenna positions '' | * 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) '' | * 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 ===== | ===== -- Scientific Work ===== | ||
- | We use the antenna positions generated by the scripts | + | We used the antenna positions generated by the automation tool in our work entitled '' |
- | {{ : | + | |
+ | [{{ : | ||
===== -- Eye Candies ===== | ===== -- 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 ===== | ||
+ | If you want to perform your own computations, | ||
+ | * Rennes: {{: | ||
+ | * Paris 75014: {{: | ||
+ | |||
+ | ===== -- Credits ===== | ||
+ | Example data is based on [[http:// |
cellular_network_map.txt · Last modified: 2015/07/20 17:33 by samer