IEEE Technical seminar: "Low-Resolution to the Rescue of All-Digital Massive MIMO" at Chalmers by Prof. Christoph Studer, ETH Zurich, Switzerland
Abstract:
Massive multiple-input multiple-output (MIMO) will be a core technology of future millimeter-wave (mmWave) and terahertz (THz) wireless communication systems. The idea of massive MIMO is to equip the basestation with hundreds of antenna elements in order to serve tens of users in the same time-frequency resource. While this technology enables high spectral efficiency via fine-grained beamforming, naive implementations of all-digital basestation architectures with conventional data converters for each antenna element would result in excessively high system costs, power consumption, and interconnect data rates. This fact is further aggravated at mmWave/THz frequencies due to the extremely large bandwidths available for communication. In this talk, we demonstrate that reliable wideband communication is practically feasible with all-digital basestation architectures when combining low-resolution data converters with low-resolution baseband processing and sophisticated signal processing algorithms.
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- Date: 17 Sep 2021
- Time: 12:00 PM UTC to 01:00 PM UTC
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- Co-sponsored by Local host: Prof. Giuseppe Durisi, Chalmers University of Technology, Gothenburg, Sweden (durisi@chalmers.se).
Speakers
Prof. Christoph Studer
Low-Resolution to the Rescue of All-Digital Massive MIMO
Abstract:
Massive multiple-input multiple-output (MIMO) will be a core technology of future millimeter-wave (mmWave) and terahertz (THz) wireless communication systems. The idea of massive MIMO is to equip the basestation with hundreds of antenna elements in order to serve tens of users in the same time-frequency resource. While this technology enables high spectral efficiency via fine-grained beamforming, naive implementations of all-digital basestation architectures with conventional data converters for each antenna element would result in excessively high system costs, power consumption, and interconnect data rates. This fact is further aggravated at mmWave/THz frequencies due to the extremely large bandwidths available for communication. In this talk, we demonstrate that reliable wideband communication is practically feasible with all-digital basestation architectures when combining low-resolution data converters with low-resolution baseband processing and sophisticated signal processing algorithms.
Biography:
Prof. Studer received his M.S. and Ph.D. degrees at the Department of Information Technology and Electrical Engineering (D-ITET) at ETH Zurich in 2006 and 2009, respectively. In 2005, he was a visiting researcher with the Smart Antennas Research Group at Stanford University. From 2009 to 2014, he was a postdoctoral researcher with the Communication Technology Laboratory at ETH Zurich and the Digital Signal Processing Group at Rice University in Houston, Texas. From 2014 to 2019, Prof. Studer was an Assistant Professor in the School of Electrical and Computer Engineering at Cornell University in Ithaca, New York, and from 2019 to 2020, he was an Associate Professor at Cornell University and at Cornell Tech in New York City. He was appointed was appointed Associate Professor in Integrated Information Processing at ETH Zurich in June 2020.
Dr. Studer received the ETH Medals for his M.S. and Ph.D. theses in 2006 and 2009, respectively, the Swiss National Science Foundation Fellowship for Advanced Researchers in 2011, and the U.S. National Science Foundation CAREER Award in 2017. He won a Michael Tien’72 Excellence in Teaching Award from the College of Engineering, Cornell University in 2016. He shared the Swisscom/ICTnet Innovations Award in 2010 and 2013. He was the winner of the Student Paper Contest of the 2007 Asilomar Conference on Signals, Systems, and Computers, received a Best Student Paper Award of the 2008 IEEE International Symposium on Circuits and Systems (ISCAS), and shared the Best Live Demonstration Award at IEEE ISCAS in 2013. He is currently an Associate Editor of the IEEE Open Journal of Circuits and Systems. In 2019, he was the Technical Program Chair of the Asilomar Conference on Signals, Systems, and Computers, and a Technical Program Co-Chair of the IEEE International Workshop on Signal Processing Systems. Prof. Studer’s research and teaching activities are in the areas of digital integrated circuit design, wireless communications, digital signal processing, optimization, and machine learning.
Address:ETH Zurich, , Switzerland