DATE:

Friday, February 19, 2021

TIME:

3:30 PM

LOCATION:

Virtual Zoom Conference

SPEAKER:

Dr. Duy H. N. Nguyen, Electrical and Computer Engineering, San Diego State University

ABSTRACT:

As an enabling technology for 5G networks, massive multiple-input multiple-output (MIMO) offers several enhancements over conventional MIMO systems in 4G networks. Interestingly, massive MIMO has shown a remarkable potential of achieving high spectral efficiency using low-cost and non-ideal hardware. However, inexpensive hardware components are prone to impairments that introduce highly nonlinear distortions to the received signals. In addition, each component distorts the signals of interest in its own way and needs to be compensated by signal processing algorithms. In this talk, I will revisit some of the conventional signal processing for communication techniques and examine their limitations in nonlinear massive MIMO systems. I will then some of our recent and ongoing research works in harnessing machine learning for signal processing under nonlinear distortions.

Duy H. N. Nguyen (Senior Member, IEEE) is an Assistant Professor at the Department of Electrical and Computer Engineering, San Diego State University. He received the B.Eng. from Swinburne University of Technology, Hawthorn, VIC, Australia in 2005, the M.Sc. from University of Saskatchewan, Saskatoon, SK, Canada in 2009 and the Ph.D. from McGill University, Montreal, QC, Canada in 2013. He was a postdoctoral research fellow at INRS-EMT (University of Quebec), The University of Houston and the University of Texas at Austin. His current research interests include resource allocation in wireless networks, signal processing for communications, optimization, game theory and machine learning. He recently received the Best Paper Award at the 2020 IEEE International Conference on Communications.

HOST:

Jose Castillo

VIDEO: