Benin, Burkina Faso, Congo (DRC), Ghana, Guinea, Guinea-Bissau, Ivory Coast, Liberia, Lesotho, Nigeria, Rwanda, Sierra Leone, South Sudan, Tanzania, Uganda, Zambia
Client Brief
Telecom Operators need to identify areas where it makes economic sense to install new base stations (BTS) in order to expand their reach. As they expand in rural areas, with lower densities, the choice of location has to be done in a surgical manner to maximise RoI while reaching the underserved.
Solution
Quality assessment of MNO data (RF data, cross checking with other sources like OpenCellID, etc.) Validation of HRSL population density data (comparing with LandCover Africa, GHSL, etc.), including manual reprocessing
Radio planning tools to compute granular mobile coverage around site locations
Merge of MNO coverage at country level
Breakdown of other (socio-economic) data to match chosen geographic resolution
Compute the number of people covered and uncovered at admin area and settlement levels
Deliverable
The maps are then available on an online interface with several functionalities like filter commands or statistics panels to access figure on coverage, population or socio-economic indicators at administrative area and settlement levels
This online interface can be secured by authentification (login and password) if data is confidential
The platform can also allow an data extraction functionality to get an Excel file with specific statistics on the displayed zone
Methodology documentation: document describing the methodology and assumptions used to create the coverage maps is also provided
See example of public deliverable for the GSMA: https://www.mobilecoveragemaps.com