A cellular space model is a formal spatial representation framework that partitions an indoor environment into a set of discrete, semantically meaningful cells (such as rooms, corridors, or zones) along with their topological relationships, as standardized in formats like OGC IndoorGML. It matters for WiFi/CSI sensing research because it provides a structured geometric and topological abstraction of indoor spaces that enables consistent location referencing, navigation graph construction, and the mapping of signal measurements to physically interpretable regions. Key variants include primal space representations, which capture the geometry of individual cells, and dual space representations, which encode inter-cell connectivity as nodes and edges in a graph, together supporting both fingerprinting-based localization and path planning applications.
Source Papers
- A Standard Indoor Spatial Data Model—OGC IndoorGML and Implementation Approaches ↗ — A Standard Indoor Spatial Data Model—OGC IndoorGML and Imple