The Ninth IEEE Sensor Array and Multichannel Signal Processing Workshop       
10th-13th July 2016, Rio de Janeiro, Brazil


Organizing committee


Call for papers


Plenary talks


Paper submission

Special sessions


Rio de Janeiro


Plenary Speakers

Important Dates

Special Session Proposals
5th February , 2016

Submission of Papers
11th March, 2016

Notification of Acceptance
29th April , 2016

Final Manuscript Submission
16th May, 2016

Advance Registration
16th May, 2016

Prof. A. Lee Swindlehurst, University of California at Irvine, USA

One-Bit Quantization in Massive MIMO Systems - pdf


The use of one-bit analog-to-digital (ADC) and digital-to-analog converters (DAC) has been proposed to reduce the otherwise overwhelming cost and energy consumption associated with massive MIMO communication systems, especially those that operate with very large bandwidths and thus very high sampling rates.  This talk focuses on the issues associated with coarse quantization in massive MIMO systems, and demonstrates that the corresponding impact is minimal at low SNRs, and can be controlled through intelligent signal processing at low-to-medium SNRs. The Bussgang decomposition is used to show how to design appropriate linear decoders and precoders for the one-bit case, and to derive bounds on the resulting sum spectral efficiency of the system.  Methods that exploit PSK signaling and the finite alphabet effect of one-bit DACs for the downlink are also presented to illustrate possible approaches. While a number of open problems remain, low-resolution quantization appears to be a promising approach to realizing massive MIMO systems with gigabit data rates.


A. Lee Swindlehurst received the B.S., summa cum laude, and M.S. degrees in Electrical Engineering from Brigham Young University, Provo, Utah, in 1985 and 1986, respectively, and the PhD degree in Electrical Engineering from Stanford University in 1991. From 1986-1990, he was employed at ESL, Inc., of Sunnyvale, CA, where he was involved in the design of algorithms and architectures for several radar and sonar signal processing systems. He was on the faculty of the Department of Electrical and Computer Engineering at Brigham Young University from 1990-2007, where he was a Full Professor and served as Department Chair from 2003-2006. During 1996-1997, he held a joint appointment as a visiting scholar at both Uppsala University, Uppsala, Sweden, and at the Royal Institute of Technology, Stockholm, Sweden. From 2006-07, he was on leave working as Vice President of Research for ArrayComm LLC in San Jose, California. He is currently Associate Dean for Research and Graduate Affairs in the Henry Samueli School of Engineering, and a Professor of Electrical Engineering and Computer Science at the University of California at Irvine. Dr. Swindlehurst is a Fellow of the IEEE, and a past Secretary of the IEEE Signal Processing Society. He has served as Editor-in-Chief of the IEEE Journal of Selected Topics in Signal Processing, as a member of the Editorial Boards for the EURASIP Journal on Wireless Communications and Networking and the IEEE Signal Processing Magazine, and is a past Associate Editor for the IEEE Transactions on Signal Processing. He is a recipient of several paper awards: the 2000 IEEE W. R. G. Baker Prize Paper Award, the 2006 IEEE Signal Processing Society's Best Paper Award, the 2006 IEEE Communications Society Stephen O. Rice Prize in the Field of Communication Theory and is co-author of a paper that received the IEEE Signal Processing Society Young Author Best Paper Award in 2001.