Differences

This shows you the differences between two versions of the page.

--- cellular_network_map [2015/07/20 11:36] – [5- Eye Candies] samer
+++ cellular_network_map [2015/07/20 15:55] – [4- Scientific Work] samer
@@ Line 36: / Line 36: @@
 ===== -- Output at a Glance =====
-The output of the previous script consists of three files:
+The output of the automation tool consists of three files:
-  * A command file ''75014_ORANGE_4G_antenna_coordinates.m'' that contains the coordinates for the antennas. You can simply load this file in MATLAB for your simulations.
+  * 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 |}}
+[{{ :75014-orange-4g-antenna-map.png?direct&300 | Orange 4G network in Paris 75014}}]
-{{ :75014-orange-4g-voronoi-map.png?direct&300 |}}
+[{{ :75014-orange-4g-voronoi-map.png?direct&300 | Orange 4G Voronoi map in Paris 75014}}]
 ===== -- Scientific Work =====
-We use the antenna positions generated by the scripts in our work entitled ''Joint Power-Delay Minimization in 4G Wireless Networks'' (Farah Moety, Samer Lahoud, Bernard Cousin, Kinda Khawam), published in the proceedings of the Wireless Days conference (WD'14) in 2014. We study the case of a realistic Long Term Evolution (LTE) Network where the challenge is the high computational complexity necessary to obtain the optimal solution. Therefore, we propose a simulated annealing based heuristic algorithm for the power-delay minimization problem. The proposed heuristic aims to compute the transmit power level of the network BSs and associate users with these BSs in a way that jointly minimizes the total network power and the total network delay.
+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.
-{{ :paris14-orange-lte-power-level.png?direct&300 |}}
+[{{ :paris14-orange-lte-power-level.png?direct&300 | BS coverage areas and user distribution for the Orange network in Paris 75014}}]
 ===== -- Eye Candies =====
 [{{ :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)}}]