cellular_network_map
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cellular_network_map [2015/07/20 01:15] – [Prerequisites] samer | cellular_network_map [2015/07/20 17:29] – [2- Method of Operation] samer | ||
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You also need to have a valid subscription on the [[http:// | You also need to have a valid subscription on the [[http:// | ||
- | ===== Output at a Glance | + | ===== -- Method of Operation |
- | 1- Go to http://www.antennesmobiles.fr/, select the antenna types, the city and copy the antenna ids (at the bottom of the page) in a text file (see for example orange-3G-rennes.csv) | + | 1. Download or fork my repository from [[https://github.com/ |
- | 2- Go to http://www.cartoradio.fr/ | + | 2. Launch the crawler script from your command line. The argument of the script corresponds to the French postal code as in: |
- | 3- Open python | + | |
- | 4- Launch the python | + | 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; | ||
+ | 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 exact geographic position of the antennas. For this, you need data from [[http:// | ||
+ | |||
+ | 3. Go to [[http:// | ||
+ | |||
+ | 4. Launch the coordinate generation | ||
+ | |||
+ | python antenna-coordinate-generation.py 75014 orange 4G | ||
+ | |||
+ | * The first argument is the postal code. | ||
+ | * The second argument is the operator name and must be chosen from: orange - free - bouygues - sfr | ||
+ | * The last argument is the network type: 2G - 3G - 4G | ||
+ | |||
+ | 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) '' | ||
+ | |||
+ | [{{ : | ||
+ | |||
+ | [{{ : | ||
+ | ===== -- 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 ===== | ||
+ | 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