DATE:

Friday, January 24, 2020

TIME:

3:00 PM

LOCATION:

GMCS-314

SPEAKER:

Dr. A. Lee Swindlehurst, Professor, Department of Electrical Engineering & Computer Science, University of California-Irvine

ABSTRACT:

Low-resolution sampling hasbeen extensively studied as a method for reducing the hardware complexity ofcommunications systems with large numbers of antennas. While one-bitquantization yields the best energy efficiency, its severe non-linearity has asignificant impact on performance. Borrowing from the idea of one-bitSigma-Delta oversampling in the temporal domain, we describe a correspondingtechnique in the spatial domain, in which the quantization noise is shaped awayfrom the signal directions corresponding to users of interest. We show that forscenarios typical in cellular systems, where the users are confined to anangular sector, the one-bit Sigma-Delta approach can provide performanceapproaching that of a system with high-resolution ADCs, with significantlylower hardware complexity.

HOST:

Jose Castillo

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