Annex 1: Examples of network mapping
Masae Analytics developed an algorithm combining both granular population density open data and coverage information to detect the most promising zones (“white spots”) where new base stations should be installed (see Figure A1.2). The algorithm simulates, for all points in the country, how many additional people would be covered by a hypothetical new base station, thanks to convolution techniques. It then selects zones where this number is the highest and ranks them for prioritization. Interactive online secured platform displaying all relevant layers and functionalities:
• operator’s coverage map (2G/3G/4G); • estimated competitors’ coverage map (if available in open data);
• granular population layer (typically high-resolution settlement layer by CIESIN and Facebook or WorldPop data); • white spots identified by Masae Analytics, along with number of newly covered people and sociodemographic information depending on available data; • filtering tools; • Excel files export functionality, for instance to focus on the white spots detected in specific regions and rank them by descending potential.
Figure A1.2. Masae Analytics algorithm with granular population density open data and coverage information to detect the most promising zones (“white spots”) for the installation of new base stations