Graduate School and Research Center in Digital Sciences

Seminar: CS Talk - Nuria González Prelcic “Sparse signal processing for MIMO systems with large arrays”

Nuria González Prelcic - Associate Professor in the Signal Theory and Communications Department

Communication systems

Date: May 2, 2017

Location: Eurecom - Shannon room

Abstract: Milimeter wave communications and massive MIMO are two of the key technologies for future cellular networks. Both technologies are based on antenna arrays with a high number of elements to provide the necessary gain, either at point-to-point MIMO links or at multiuser systems. Despite the many advantages of MIMO systems with large arrays operating at mmWave or sub-6GHz frequency bands (beamforming gain, spatial multiplexing capability, etc.), complexity and power consumption of the signal processing associated to the large MIMO matrices becomes a limitation. Besides increasing the size of the system matrices, increasing the number of antenna elements also introduces sparsity in the channel matrices. Leveraging the sparse structure in the channel may led to efficient channel estimation algorithms, low complexity precoder/combiner designs, equalization or compressive strategies for channel feedback. A number of sparse recovery techniques and compressed sensing formulations can be used to solve these problems, from more conventional orthogonal matching pursuit techniques to low rank approximations. All these techniques will be reviewed in one of the sections of the tutorial. The other sections are devoted to describe the sparse nature of MIMO channel models and to review the sparse solutions to MIMO processing problems when operating with large arrays. Bio: Nuria González Prelcic is currently an Associate Professor in the Signal Theory and Communications Department, University of Vigo, Spain. She has held visiting positions with the University of New Mexico (2011), and The University of Texas at Austin (2014, 2015 and 2016). Her main research interests include signal processing theory and signal processing for wireless communications: filter banks, compressive sampling and estimation, multicarrier modulation, channel estimation and MIMO processing for millimeter wave communications. In the last 3 years she has co-authored around 30 journal and conference papers in the topic of signal processing for MIMO systems with large arrays. She has published a tutorial in the IEEE Journal of Selected Topics in Signal Processing. She has also served as guest editor for the special issue of this journal on signal processing for mmWave wireless communications and is currently an Associate Editor for IEEE Transactions on Wireless Communications. She has delivered tutorials on millimeter wave communications at Globecom 2016, WCNC 2017 and ICASSP 2017. She has been the founding director of the Atlantic Research Center for Information and Communication Technologies (AtlantTIC) at the University of Vigo from 2010 to 2017.

CS Talk - Nuria González Prelcic “Sparse signal processing for MIMO systems with large arrays”