Integrated Sensing and Communication: aspects from Information Theory, Communication Theory, and Machine Learning

Abstract: Integrated Sensing and Communications (ISAC) is one of the new features of future wireless networks (in short, 6G). The scope and variety of scenarios in ISAC is vast, with many possible ways to formulate problem and tools to address them. In this talk, I shall review some of these problem formulations and approaches spanning information theory, statistical signal processing & communication theory, and deep learning. Some recent results in information theory show that, in certain idealized scenarios,  the fundamental tradeoff between communication and estimation can be characterized exactly or approximately. This characterization reveals certain fundamental aspects of ISAC system design. Then, I will consider the problem of radar parameter estimation in monostatic and multistatic systems using communication waveforms (notably, OFDM and OTFS) instead of traditional radar waveforms. Finally, for the case of the estimation of extended targets, I will show how the problem formulated in terms of classical maximum likelihood detection and parameter estimation may be ill-posed, while schemes based on deep learning can yield very attractive results.

Bio: Giuseppe Caire is an Alexander von Humboldt Professor with the Faculty of Electrical Engineering and Computer Science at the Technical University of Berlin, Germany, and an adjunct research full professor with the Viterbi School of Engineering, University of Southern California.

He received the Jack Neubauer Best System Paper Award from the IEEE Vehicular Technology Society in 2003,  the IEEE Communications Society and Information Theory Society Joint Paper Award in 2004 and in 2011, the Okawa Research Award in 2006, the Alexander von Humboldt Professorship in 2014, the Vodafone Innovation Prize in 2015, an ERC Advanced Grant in 2018, the Leonard G. Abraham Prize for best IEEE JSAC paper in 2019, the IEEE Communications Society Edwin Howard Armstrong Achievement Award in 2020,  and he is a recipient of the 2021 Leibniz Prize of the German National Science Foundation (DFG). Giuseppe Caire is a Fellow of IEEE since 2005.  He has served on the Board of Governors of the IEEE Information Theory Society from 2004 to 2007 and as an officer from 2008 to 2013. He was President of the IEEE Information Theory Society in 2011. His main research interests are in the fields of communications theory, information theory, channel and source coding, with particular focus on wireless communications.

*** The event will take place in a hybrid format. The location for in-person attendance will be room 1012 EECS. Attendance will also be available via Zoom.

Join Zoom Meeting https:https://umich.zoom.us/j/99102451525

Meeting ID: 991 0245 1525

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Zoom Passcode information is also available upon request to: Sher Nickrand([email protected])