CWTe: High accuracy joint sensing and communication at mmWave signal processing, machine learning or both?

Dear all,

Please be invited for a Center for Wireless Technology (CWTe) lecture by Prof. Nuria González-Prelcic on joint sensing and communication.

We are looking forward to ‘see’ you at the colloquium.
Physica

Please be invited for a Center for Wireless Technology (CWTe) lecture by Prof. Nuria González-Prelcic on joint sensing and communication.

Participation link: we will use ‘MS Teams’, see the link on the bottom of this mail

CWTe is looking forward to ‘see’ you at the colloquium or webinar.

Speaker

Title: High accuracy joint sensing and communication at mmWave: signal processing, machine learning or both?

by Prof. Nuria González-Prelcic on joint sensing and communication.

Abstract: Wireless networks are incorporating millimeter wave spectrum and beyond, with a clear trend on going up in frequency and bandwidth. This, together with MIMO  technology using large antenna arrays, provides the key ingredients to develop high accuracy integrated sensing and communication systems (ISAC) that exploit the similarities between the required hardware and algorithms for sensing and communication. In this talk, I provide an overview of how signal processing and machine learning techniques can be integrated in mmWave systems to  enable different types of network sensing modes. In the first part of the talk, I provide an overview of the features of joint sensing and communication at mmWave and a description of the different network sensing modes. Next, I describe in detail a hybrid model/data driven approach to high accuracy user localization as an example of bistatic sensing. I also discuss the hybrid design of a joint sensing and communication system leveraging a full duplex transceiver to implement  a monostatic sensing mode, where the self-interference between the transmit and receive arrays must be considered. I conclude the talk by identifying some open related problems and research directions.

Bio

Nuria González-Prelcic (SM, IEEE) received her Ph.D. with Honors in 2000 from the University of Vigo, Spain. She is a Professor at the ECE Department of the University of California San Diego since January 2024. She previously held faculty positions at the ECE Department of  NC State University, USA (2020-2023) and at the Signal Theory and Communications Department at the University of Vigo, Spain (2000-2020). She also held visiting positions at the University of Texas at Austin and the University of New Mexico. She was also the founding director of the Atlantic Research Center for Information and Communication Technologies (atlanTTic) at the University of Vigo (2008-2017). Her main research interests include signal processing and machine learning for wireless communications, with a focus on MIMO processing for mmWave communication, joint sensing and communication, sensor-aided communication, signal processing under hardware impairments, vehicular communication, and multiantenna technology for LEO satellite communication.  She has published more than 150 papers in these areas, including a highly cited tutorial on signal processing for mmWave MIMO published in the IEEE Journal of Selected Topics in Signal Processing which has received the 2020 IEEE SPS Donald G. Fink Overview Paper Award,  a paper pioneering the idea of enabling automotive radar with a WiFi waveform that won the 2022 IEEE Vehicular Technology Society Best Vehicular Electronics Paper Award, and a paper on joint localization and communication for vehicular networks exploiting self-attention networks which received the best paper award at IEEE SPAWC in 2023.

She is a Distinguished Lecturer of the IEEE Vehicular Technology Society. She is the lead editor in the forthcoming special issue on integrated sensing and communication featured by the IEEE Signal Processing Magazine. She was an Editor for IEEE Transactions in Wireless Communications (2016-2020). She is currently an Editor for IEEE Transactions in Communications. She is a member of the IEEE Signal Processing Society TWG on Integrated Sensing and Communication, SAM Technical Committee, SPCOM Technical Committee and IEEE SPS Education Board.

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