Dealing with Insufficient Network Coverage
Connectivity is a Challenge not only in Rural Areas
Mobile solutions that address mobility in rural areas, often face the challenge, that network coverage for data transfers are not or only partly available. In this project we will develop a solution that addresses missing or insufficient network coverage by selection and priorisation of data, compression, as well a predictive packaging.
Predicting Network Coverage
Ubiquitous connectivity is a key component for mobility services and navigation systems to get live maps and traffic data. However, in rural areas network coverage is often limited and knowing beforehand which regions along a route are well covered is a key differentiating factor. We provide world-wide network coverage maps to predict connectivity even in the most distant regions. Our coverage predictions take into account the positions of cellular base stations, antenna configurations and the terrain as a signal limiting factor. Additionally, we use crowd-sourced signal strength measurements to make the predictions even more precise.
Scheduling Data Transmission
Network coverage and frequent interruptions of connectivity put strong limitations on web services that shall be run in rural areas. Thus, we provide a data scheduling service that predicts how much data can be transmitted at which points along a route to ensure optimal quality of service even in remote regions.
Supporting Rural Areas
We are happy to get support for these concepts from the Regional Economic Programme and funding from the ERDF, the Federal Government and Land Schleswig-Holstein.
