Made openly available xG-Loc, the first open access dataset for location awareness fully compliant with 3GPP specifications. xG-Loc includes received localization signals, time/angle measurements, and analytics in various scenarios and frequency ranges.

xG-Loc is publicly available on IEEE DataPort at this link.

Developed a simulation platform for 5G and Beyond localization which is fully compliant with 3GPP technical specifications.

Developed wireless sensing techniques for tracking and classification of multiple targets in industrial environments using an automotive MIMO radar at mmWaves.

Developed wireless sensing techniques for tracking and classification of multiple targets in outdoor environments using an automotive MIMO radar at mmWaves.

WCLN Lab disseminated its activities on Localization-of-Things at EXPO 2020.