Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization
SigMap is a multimodal foundation model that introduces two key innovations: a cycle-adaptive masking strategy that dynamically adjusts masking patterns based on channel periodicity characteristics to learn robust wireless representations and a novel"map-as-prompt"framework that integrates 3D geographic information through lightweight soft prompts for effective cross-scenario adaptation.