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--- cellular_network_map [2015/07/20 01:23] – [2- Operation Steps] samer
+++ cellular_network_map [2015/07/20 17:07] – [6- Raw Data] samer
@@ Line 10: / Line 10: @@
 ===== -- Method of Operation  =====
-  - Download or fork my repository from [[https://github.com/samerlahoud/cellular-network-map | GitHub]].
+. Download or fork my repository from [[https://github.com/samerlahoud/cellular-network-map | GitHub]].
-  - Launch the crawler script from your command line
+. Launch the crawler script from your command line. The argument of the script corresponds to the postal code as in:
   python antennes-mobiles-crawler.py 75014
-  - Ordered List Item
+You should obtain a text file named ''network-map-75014.txt'' in the ''/data'' directory. This file contains information on the antennas in the selected geographical area.
-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)
+; 2G 3G 4G; BOUYGUES TELECOM; 1995-09-01; 2014-09-26; 156 R LÉON MAURICE NORDMANN; 75013; PARIS-13E--ARRONDISSEMENT; Oui;
+; 2G 3G 4G; BOUYGUES TELECOM; 2004-08-20; 2014-12-05; 22/24 R DU FAUBOURG ST JACQUES; 75014; PARIS-14E--ARRONDISSEMENT; Oui;
+The only missing information is the geographic position of the antennas. For this, you need the information from [[http://www.cartoradio.fr/cartoradio/web/|ANFR]].
+. Go to [[http://www.cartoradio.fr/cartoradio/web/|ANFR]], select the same city as previously and download the data (you should sign in and you will receive data by mail). Download the obtained data in ''data/cartoradio-75014/''.
+. Launch the coordinate generation script:
+  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
+. Watch back and enjoy!
+===== -- Output at a Glance =====
+The output of the automation tool consists of three files:
+  * A command file ''75014_ORANGE_4G_antenna_coordinates.m'' that contains the coordinates of the antennas. You can simply load this file in MATLAB for your simulations.
+  * A figure plot of the antenna positions ''75014-ORANGE-4G-antenna-map.png''.
+  * A figure plot of the Voronoi diagram (the set of points in the geographic area closer to each antenna) ''75014-ORANGE-4G-voronoi-map.png''.
+[{{ :75014-orange-4g-antenna-map.png?direct&300 | Orange 4G network in Paris 75014}}]
+[{{ :75014-orange-4g-voronoi-map.png?direct&300 | Orange 4G Voronoi map in Paris 75014}}]
+===== -- Scientific Work =====
-- Go to http://www.cartoradio.fr/cartoradio/web/, select the same city and download the data (you should sign in and you will receive date by mail)
+We used the antenna positions generated by the automation tool in our work entitled ''Joint Power-Delay Minimization in 4G Wireless Networks'' (by Farah Moety, Samer Lahoud, Bernard Cousin, and Kinda Khawam), published in the proceedings of the Wireless Days conference (WD'14) in 2014. In this scientific work, we propose an algorithm that computes the transmit power level of the network Base Stations (BSs) and associate users with these BSs. The objective is to jointly minimise the total network power and the total network delay. In the following figure, we show the coverage area of each BS when transmitting at the lowest power level and the user distribution in the studied area.
-- Open python antenna-coordinate-generation.py and make the necessary modifications (mainly pointing to the corresponding data files)
+[{{ :paris14-orange-lte-power-level.png?direct&300 | BS coverage areas and user distribution for the Orange network in Paris 75014}}]
+===== -- 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.
+[{{ :overlay-orange-2g-rennes.jpg?direct&300 | Orange 2G network in Rennes (63 BSs)}}]
+[{{ :overlay-orange-3g-rennes.jpg?direct&300 | Orange 3G network in Rennes (69 BSs)}}]
+[{{ :overlay-orange-4g-rennes.jpg?direct&300 | Orange 4G network in Rennes (50 BSs)}}]
-- Launch the python script and watch back!
+===== -- Raw Data =====
+If you want to perform your own computations, you can find the coordinates of the antennas for the different operators in Rennes and Paris. Data is courtesy of the ANFR
+{{:35000.zip|}}
+{{:75014.zip|}}