Building the Next-Generation Radio Networks Planning Infrastructure using Datacubes

Arrays are an accepted data structure in database world today, next to sets, graphs, etc. Only relatively late, however, arrays have found acceptance in the database community as a first-class abstraction. Meantime, array databases with their declarative query support on "datacubes" have been built and are successfully applied in science, engineering, fintech, and other domains.In this case study we report about using array databases for the flexible management and analysis of spatio-temporal data for radio networks planning and optimization. We present the use case and how datacubes respond to the challenges of this field. To the best of our knowledge, this has not been attempted before, so it heralds a new field of application for geo array databases, in addition to well-known satellite imagery and climate datacubes.