Channel Estimation – Machine Learning Applied to the Physical Layer of Millimeter – Wave MIMO Systems

Channel estimation is challenging in millimeter wave systems because it combines both analog and digital beam forming (called the hybrid architecture). The objective of this challenge is to present solutions to the site-specific channel estimation problem with hybrid architectures. This talk will address the challenges of the problem as well as state-of-the-art solutions. Participants will be encouraged to design either a ML-based approach or a more conventional signal processing algorithm that can learn some priors from the provided training data set to provide high accuracy channel estimates with low training overhead during the testing phase. Furthermore, a description of the datasets for training and testing which is obtained from a specific urban location, and thus being site-specific will be provided. Finally, a description of the technical goals of this challenge will be provided. This will give insights into the trade-offs between data-driven and model-driven algorithms.

Speakers, Panelists and Moderators

  • NURIA GONZÁLEZ PRELCIC
    NURIA GONZÁLEZ PRELCIC
    Associate Professor
    Nuria González Prelcic is an Associate Professor in the Signal Theory and Communications Department, University of Vigo, Spain, also affiliated with UT Austin, and starting at North Carolina State University as Associate Professor in August 2020. She received her Ph.D. in Electrical Engineering in 2000. She has held visiting positions with the University of New Mexico (2012), and The University of Texas at Austin (2014 -2017). Her main research interests include signal processing theory and signal processing for wireless communications: filter banks, compressive sampling and estimation, multicarrier modulation, MIMO processing for millimeter wave communication and sensing, including vehicle-to-everything and air-to-everything communication at millimeter wave. She has published around 80 papers in the topic of signal processing for communications, including a highly cited tutorial on millimeter wave communication published in the IEEE Journal of Selected Topics in Signal Processing. She is an Editor for IEEE Transactions on Wireless Communications. She has co-organized several special sessions on mmWave communications at SPAWC 2015, Asilomar 2016 and CAMSAP 2017. She was the founding director of the Atlantic Research Center for Information and Communication Technologies (atlanTTic) at the University of Vigo for nine years.
RESOURCES

Date

03 Jul 2020

Time

CEST, Geneva
14:00 - 15:00
Sessions

Topics

5G
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