Giuseppe Caire was born in Torino in 1965. He received the B.Sc. in Electrical Engineering from Politecnico di Torino in 1990, the M.Sc. in Electrical Engineering from Princeton University in 1992, and the 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 & Information Theory Society Joint Paper Award in 2004 and in 2011, the Leonard G. Abraham Prize for best IEEE JSAC paper in 2019, the Okawa Research Award in 2006, the Alexander von Humboldt Professorship in 2014, the Vodafone Innovation Prize in 2015, and an ERC Advanced Grant in 2018. 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.
Tutorial: TCoded Caching: Fundamental Results, Application Perspectives, and Open Problems
Abstract: Coded caching is a new paradigm for efficient delivery of content over shared-medium networks. In its most basic form, it consists of exploiting the overlap of the cache contents of different users in order to create coded multicast messages that are simultaneously useful for many users at a time, thus satisfying the requests of many users with a single multicast transmission. Coded caching is strongly related to index coding and network coding, and for some prototypical network topologies explicit schemes have been developed that achieve information-theoretically optimal performance. This tutorial illustrates the basic concepts of coded caching and summarizes the most important information theoretic optimality results. Then, it focuses on a number of open problems that still need to be addressed in order to make coded caching a viable scheme for real-life content distribution applications, such as efficient video streaming over wireless networks. In particular, the interaction between coded caching and streaming protocols, the scalability in terms of number of users, and the possible interactions between coded caching and physical layer techniques such as multiuser MIMO shall be explored and some recent results will be presented.
Keynote: Massive MIMO for TDD and FDD Systems
Abstract: Massive MIMO is a popular buzzword that has replaced the concept of Multiuser MIMO, widely studied for more than 15 years in the comm theoretic and information theoretic literature. Enabling multiuser MIMO in order to fundamentally boost the wireless capacity has been a long lasting quest for telecommunication systems and standards. Previous attempts such as the ill-fated CoMP (cooperative transmission from multiple base stations) did not yield the expected capacity improvements because multiuser MIMO was always considered as an add-on feature and not taken as a core feature of the system PHY design. Fortunately, it seems that the 5GNR standard has been designed by taking into account the needs of enabling multiuser MIMO. Therefore, multiuser MIMO is finally expected to have a fundamental impact on 5G systems, much more than what achieved so far in previous generation systems. In this keynote, the fundamental concepts of multiuser MIMO uplink and downlink schemes, the special features that makes such schemes “massive’’ (according to the personal view of the presenter), and some recent advances and challenges, shall be presented.