cellular_network_map
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cellular_network_map [2015/07/20 01:32] – [2- Method of Operation] samer | cellular_network_map [2015/07/20 17:26] – [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 | ||
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The only missing information is the geographic position of the antennas. For this, you need the information from [[http:// | The only missing information is the geographic position of the antennas. For this, you need the information from [[http:// | ||
- | 2- Go to [[http:// | + | 3. Go to [[http:// |
- | 3- Open python antenna-coordinate-generation.py and make the necessary modifications (mainly pointing to the corresponding data files) | + | 4. Launch the coordinate generation |
- | 4- Launch | + | 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