NSF-AoF: SOLID: System-wide Operation via Learning In-device Dissimilarities
Robert Wendell Heath Jr
Project runs from 10/01/2022 to 09/30/2025
This collaboration between North Carolina State University (NC State) and Tampere University (TAU) aims to design a novel distributed learning framework for efficient beam management in 5G+/pre-6G MIMO communication systems. The proposed research agenda lies at the intersection of wireless communications technologies and advanced methods of distributed machine learning. The idea of the side-information approaches is to learn mappings between beam combinations and sensor inputs based on past performance, to create a recommendation engine that suggests a small number of TX-RX beam pairs out of a large possible combinations. This research, if successful, has application to 5G and 6G wireless communication systems.