In the next decade, the emergence of massively connected networks of billions of devices will lead to an unprecedented increase in mobile data traffic. Hessam Mahdavifar, assistant professor of electrical engineering and computer science, has received an NSF CAREER award to support research on solutions for reliable communications across future wireless networks.
This research aims to develop enabling technologies for reliable and scalable communications over such massive wireless networks. It will also propose a novel paradigm for compression and computation methods, which can significantly reduce the cost of storing and processing massive datasets.
The project addresses fundamental questions about coding in the subspace domain. It’s expected to provide knowledge, techniques, and qualitative insights that will contribute to the foundations of coding and information theory. It will also establish a new connection between information theory, coding theory, wireless communications, and data science through the lens of subspaces.