5 papers
OmniLoc: A Geometry-Aware Foundation Model for Anchor-Free UE Localization Across Diverse Indoor Environments
Lei Chu, Yuning Zhang, Omer Gokalp Serbetci +3
Indoor localization from wireless measurements remains challenging in large-scale deployments due to substantial variation in building geometry, the set of detectable access points…
WiLoc: Massive Measured Dataset of Wi-Fi Channel State Information with Application to Machine-Learning Based Localization
Yuning Zhang, Lei Chu, Omer Gokalp Serbetci +2
Localization is a key component of the wireless ecosystem. Machine learning (ML)-based localization using channel state information (CSI) is one of the most popular methods for ach…
Cognitive Radio for Asymmetric Cellular Downlink with Multi-User MIMO
Omer Gokalp Serbetci, Lei Chu, Andreas F. Molisch
Cognitive radio (CR) is an important technique for improving spectral efficiency, letting a secondary system operate in a wireless spectrum when the primary system does not make us…
Context-Conditioned Spatio-Temporal Predictive Learning for Reliable V2V Channel Prediction
Lei Chu, Daoud Burghal, Rui Wang +2
Achieving reliable multidimensional Vehicle-to-Vehicle (V2V) channel state information (CSI) prediction is both challenging and crucial for optimizing downstream tasks that depend…
Exploiting Semantic Localization in Highly Dynamic Wireless Networks Using Deep Homoscedastic Domain Adaptation
Lei Chu, Abdullah Alghafis, Andreas F. Molisch
Localization in GPS-denied outdoor locations, such as street canyons in an urban or metropolitan environment, has many applications. Machine Learning (ML) is widely used to tackle…