Thursday, September 29, 2022 Prof. Visa Koivunen Aalto Distinguished Professor Dept of Signal Processing and Acoustics, Aalto University, Finland Time & Talk Location 1:30PM, SEO 1000 851 South Morgan Street, 10th Floor, Chicago

Integrated Sensing and Communication Systems: Waveform Design, Reinforcement Learning and Signal Processing Advances

Integrated Sensing and Communications Systems (ISAC) sense radio frequency spectrum and transfer wireless data jointly. They operate in a shared and congested spectrum. We are considering ISAC systems that cooperate or are co-designed for mutual benefits. Co-designed systems may share HW and antenna resources as well as awareness about the state of the radio spectrum. The ISAC systems have a number of operational parameters that can be adjusted either by using structured optimization or machine learning. We focus on multicarrier waveforms used by most current and emerging wireless communication systems. Similarly, multicarrier waveforms have been employed for radar purposes. We will present waveform optimization, reinforcement learning, interference management and signal processing methods for co-designed ISAC systems that share channel and interference awareness. Model-based reinforcement learning approach is taken to exploit the rich structural knowledge of man-made communication and sensing systems and propagation effects to choose optimal actions and resource use. Optimizing operational parameters can be modeled as a radar-centric or communications-centric constrained optimization problem where the minimum desired performance levels for other sub-systems impose the constraints. The developed OFDM radar signal processing algorithms in ISAC can take advantage of nonidealities such as carrier offsets that are commonly considered an impairment in wireless communications. We demonstrate the achieved performance gains in different sensing and communication tasks and interference management through extensive simulation and analytical results.

Bio:

Visa Koivunen (IEEE Fellow, EURASIP Fellow) received his D.Sc. (EE) degree with honors from the Univ of Oulu, Dept. of Electrical Engineering. He was a visiting researcher at the Univ of Pennsylvania, Philadelphia, USA, 1991-1995 and adjunct full professor in 2003-2006. Since 1999 he has been a full Professor of Signal Processing at Aalto University (formerly HUT), Finland. He received the Academy professor position in 2010 and Aalto Distinguished professor in 2020. During his sabbatical terms in 2006-2007 and 2013-2014 he was a visiting faculty at Princeton University. He has also been a Visiting Fellow at Nokia Research (2006-2012). Since 2010 he mini-sabbaticals at Princeton University each year. On his sabbatical term in 2022-23, he is visiting professor at EPFL, Lausanne, Switzerland.

Dr. Koivunen‘s research interests include statistical signal processing, wireless comms, radar, multisensor systems and machine learning. He was awarded the IEEE SP Society best paper award for the year 2007 (with J. Eriksson) and 2017 (w Zoubir, Muma and Chakhchouk). He has served in editorial board for Proceedings of the IEEE, IEEE SP Letters, IEEE TR on SP, and IEEE SP Magazine. He was awarded the 2015 EURASIP (European Association for Signal Processing) Technical Achievement Award for fundamental contributions to statistical signal processing and its applications in wireless communications, radar and related fields.

Host: Prof. Mojtaba Soltanalian, msol@uic.edu

851 S Morgan St

Chicago, IL 60607-7042