Dr. Nuria González Prelcic
University of Vigo, Spain
A major challenge in millimeter wave (mmWave) communications is to configure the hybrid antenna arrays in the transceivers. Furthermore, the mobility of the users in a mmWave network makes it necessary to periodically reconfigure these arrays, according to variations in the channel. A popular strategy for array configuration/reconfiguration is based on beam training and beam refinement. This approach tries to find or refine the best beam pair. It has been adopted in the last WiFi and cellular standards operating at millimeter wave frequencies, because it enables joint synchronization and beam training at low signal-to-noise ratios. It also introduces, however, high overhead in the communication system, that disables the use of millimeter wave frequencies for some of the promised used cases for new generation communication systems providing high data rates and low latency, like cellular-supported robotic applications, automated driving, or UAV operations.
This talk reviews the work performed by my research group on designing alternative strategies to configure the hybrid antenna arrays. I will describe a channel estimation strategy for frequency selective millimeter wave channels, where we assume the received signal is already synchronized. Then, I will define a more practical setting, where channel variations, lack of synchronization, calibration errors or beam squint are considered. I will continue describing how we further reduce the overhead associated to our estimation framework by using out-of-band information coming from sensors or other communication systems operating in parallel, or by exploiting statistical priors about some channel parameters. Finally, I will conclude with a description of the new signal processing challenges that we are currently trying to address to enable millimeter wave communication in the most challenging mobile scenarios.
Nuria González Prelcic is currently an Associate Professor in the Signal Theory and Communications Department, University of Vigo, Spain (on leave) and a visiting professor at the Electrical Computing Engineering Department, The University of Texas at Austin, since August 2017. Her main research interests include signal processing theory and signal processing for wireless communications, with an emphasis on signal processing for millimeter wave MIMO communications in the last 4 years, including vehicle-to-everything and air-to-everything communication. In the last 4 years she has published around 70 papers (22 journal papers and around 50 conference papers) in the topics of compressed sensing theory and its applications to millimeter wave and massive MIMO communications. She is and Editor for the IEEE Transactions on Wireless Communications and an Area Editor for the IEEE Signal Processing Magazine. She is a member of the IEEE Sensor Array and Multichannel Signal Processing Technical Committee. She has been the founder director of the Atlantic Research Center for Information and Communication Technologies (atlanTTic) at the University of Vigo from July 2008 to January 2017. She is the assistant director of UT SAVES, a research center at UT Austin that addresses the challenges of wireless, networking, and sensing in vehicular systems