RA-LWLM: Retrieval-Augmented In-Context Localization with Wireless Foundation Models 事件

RA-LWLM: Retrieval-Augmented In-Context Localization with Wireless Foundation Models arXiv:2606.01899v1 Announce Type: cross Abstract: Wireless localization is a fundamental capability of sixth-generation (6G) networks. Conventional model-based methods require accurate modeling of the propagation environment and degrade in complex multipath and non-line-of-sight scenarios, while learning-based methods couple model parameters tightly to the training scene, requiring costly retraining whenever th