Demonstrating radio environment map construction from massive data sets

In this demonstration we show an approach for constructing radio environment maps from massive data sets. Unlike earlier approaches, the methods used in the demonstrator can scale to millions of measurement points, enabling coverage prediction and other spatial estimation problems to be solved at country-wide scales. The demonstrator GUI enables attendees to construct different types of simulated measurement data sets, and perform spatial estimation based on those. The framework also allows the attendees to study the accuracy of the obtained estimates, as well as the computational time required for data processing.