EECS Seminar: Spatial Sigma-Delta Quantization

Abstract: Several symbiotic trends have emerged that can enable orders of magnitude increases in the throughput of wireless communications systems: small cells, high frequencies,and massive antenna arrays. Each of these trends is well suited for the others due to various factors related to RF signal propagation and adaptive spatial processing. However, the price to be paid for taking advantage of these technologies is ever increasing power consumption at the base station transceivers. In an effort to mitigate the high power requirement, low-resolution sampling has been extensively studied as a possible approach. Most attention has focused on the extreme case of one-bit analog-to-digital converters (ADCs), which produce large signal distortions, but using ADCs with 3-4 bits of resolution have been shown to be near optimal. We will show some results using a spatial analog of the one-bit Sigma-Delta sampling concept that performs well for scenarios typical in cellular systems, where the users are confined to an angular sector.
 
Bio: Lee Swindlehurst received a bachelor's degree (1985) and master's degree (1986) in electrical engineering from Brigham Young University (BYU), and a doctorate (1991) in electrical engineering from Stanford University. He was with the Department of Electrical and Computer Engineering at BYU from 1990-2007, and during 1996-97, he held a joint appointment as a visiting scholar at Uppsala University and the Royal Institute of Technology in Sweden. From 2006-07, he was on leave working as vice president of research for ArrayComm LLC in San Jose, California. Since 2007, he has been a professor in the electrical engineering and computer science at UCI. During 2014-17, he was also a Hans Fischer Senior Fellow in the Institute for Advanced Studies at the Technical University of Munich. In 2016, he was elected as a foreign member of the Royal Swedish Academy of Engineering Sciences. His research focuses on array signal processing for radar, wireless communications and biomedical applications, and he has over 400 publications in these areas. Swindlehurst is a fellow of the IEEE and was the inaugural editor-in-chief of the IEEE Journal of Selected Topics in Signal Processing. He received the 2000 IEEE W. R. G. Baker Prize Paper Award, 2006 IEEE Communications Society Stephen O. Rice Prize in the Field of Communication Theory, 2006, 2010 and 2021 IEEE Signal Processing Society’s Best Paper Awards, 2017 IEEE Signal Processing Society Donald G. Fink Overview Paper Award, a best paper award at the 2020 IEEE International Conference on Communications, and the 2022 Claude Shannon-Harry Nyquist Technical Achievement Award from the IEEE Signal Processing Society.