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Lecture 2.1 Information Theory of ISAC: Rate-Distortion Tradeoff in ISAC by Prof. Giuseppe Caire

Автор: Chaspark

Загружено: 2025-09-22

Просмотров: 1015

Описание: Integrated Sensing and Communication (ISAC) is a paradigm for which a communication system is endowed with sensing functionalities beyond its communication functions. As sensing and communication share common transmission resources, in terms of bandwidth, power, and hardware, a basic question is what is the optimal tradeoff between achievable communication rate and sensing performance, which can be defined as some form of distortion (or error) incurred by the sensing function (where this may be target detection, target parameter estimation, or more in general the RF-imaging of a desired field of view). Significant recent research has been dedicated to answering this question in an information-theoretic sense, considering different models and sensing distortion functions.
This serves to quantify the potential advantage of new ISAC schemes that fully integrate sensing and communication, with respect to “conventional” schemes that partition the transmission resource and the hardware between the two functions. Also, often the information theoretic analysis of the problem suggests interesting achievable strategies, which in turns provide guidelines on principled system design. In this talk, we review these recent results and point out that, while some models have been solved in a nice and satisfactory way, there are still many interesting open problems that need to be addressed.

Speaker:
Prof. Giuseppe Caire
Alexander von Humboldt Professor
Electrical Engineering and Computer Science, Technical University of Berlin

Giuseppe Caire received a B.Sc. in Electrical Engineering from Politecnico di Torino in 1990, an M.Sc. in Electrical Engineering from Princeton University in 1992, and a Ph.D. from Politecnico di Torino in 1994. He has been a post-doctoral research fellow with the European Space Agency (ESTEC, Noordwijk, The Netherlands) in 1994-1995, Assistant Professor in Telecommunications at the Politecnico di Torino, Associate Professor at the University of Parma, Italy, Professor with the Department of Mobile Communications at the Eurecom Institute, Sophia-Antipolis, France, a Professor of Electrical Engineering with the Viterbi School of Engineering, University of Southern California, Los Angeles, and he is currently an Alexander von Humboldt Professor with the Faculty of Electrical Engineering and Computer Science at the Technical University of Berlin, Germany.
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, in 2011, and in 2025, 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, the 2021 Leibniz Prize of the German National Science Foundation (DFG), and the CTTC Technical Achievement Award of the IEEE Communications Society in 2023. Giuseppe Caire is a Fellow of IEEE since 2005. He has served in the Board of Governors of the IEEE Information Theory Society from 2004 to 2007, and as officer from 2008 to 2013. He was President of the IEEE Information Theory Society in 2011.
His main research interests are in the field of communications theory, information theory, channel and source coding with particular focus on wireless communications.

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Lecture 2.1 Information Theory of ISAC: Rate-Distortion Tradeoff in ISAC by Prof. Giuseppe Caire

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