Minsung Kim, Rutgers University

Abstract

A central design challenge for future generations of wireless networks is to meet the ever-increasing demand for capacity, throughput, and connectivity. While significant progress has been made in designing advanced wireless technologies, the current computational capacity at base stations to support them has been consistently identified as the bottleneck, due to limitations in processing time. In this talk, I'll discuss how emerging computing methods, such as quantum and optical computing, can potentially resolve the current computational limitations and transform wireless system architectures toward the NextG wireless. I'll also briefly introduce some of our prototype systems that leverage such non-traditional computing methods. They are designed for optimal wireless signal processing algorithms in Multiple-Input Multiple-Output (MIMO) systems that could drastically increase spectral efficiency for tomorrow's cellular networking standards, as well as in wireless local area networks.

Speaker bio: Minsung Kim is an Assistant Professor in the Department of Computer Science and WINLAB at Rutgers University. Prior to joining Rutgers, he was a postdoctoral associate at Yale University. He received his Ph.D. in Computer Science from Princeton University. His research focuses on quantum and emerging computing systems for next-generation wireless networks. He is a recipient of the Qualcomm Innovation Fellowship, the Princeton SEAS Award for Excellence, and the Siebel Scholars Award.