RFDataFactory: Categorized and Searchable Research Datasets
Source: Northeastern University
ECE Professor Kaushik Chowdhury (PI), William Lincoln Smith Professor Tommaso Melodia (co-PI), and Assistant Professor Francesco Restuccia (co-PI) are leading a $1.8M NSF grant, in collaboration with Ashutosh Sabharwal from Rice University, for “RFDataFactory: Principled Dataset Generation, Sharing and Maintenance Tools for the Wireless Community.” Applied machine learning research in wireless faces challenges due to the inability of domain experts to easily access existing well-curated, well-structured, and open-access datasets. There is also a lack of direct access to a software framework that automates dataset creation and distribution based on detailed user requirements. RFDataFactory aims to make available categorized datasets suitable for research related to machine learning in 5G and beyond networks, and advance fundamental understanding and design tools for accessing, creating, sharing, and storing wireless datasets.