Design of short-packet transmission systems through finite-blocklength information theory
Prof. Giuseppe Durisi
Chalmers University of Technology
To enable autonomous systems such as connected vehicles, automated factories, and smart grids, future wireless communication networks must be able to support the sporadic transmission of short data packets from a massive number of devices, within stringent latency and reliability constraints. Current wireless systems are not suited for such a traffic typology. Furthemore, most of the current approaches to design wireless systems, which are based on asymptotic information-theoretic principles, fail to provide useful guidelines when the packets are short.
In this lecture, I will review recent results in finite-blocklength information theory that provide the theoretical principles governing the transmission of short packets. Specifically, by focusing on channel models of interest in wireless communication, I will discuss how to rigorously characterize through information-theoretic bounds the inherent tradeoff between packet size (blocklength), error probability, and transmission rate.
Giuseppe Durisi received the Laurea degree summa cum laude and the Doctor degree both from Politecnico di Torino, Italy, in 2001 and 2006, respectively. From 2002 to 2006, he was with Istituto Superiore Mario Boella, Torino, Italy. From 2006 to 2010 he was a postdoctoral researcher at ETH Zurich, Zurich, Switzerland. In 2010, he joined Chalmers University of Technology, Gothenburg, Sweden, where he is now professor with the Communication Systems Group. He is also guest researcher at Ericsson, Sweden, and co-director of Chalmers ICT Area of Advance.
Dr. Durisi is a senior member of the IEEE. He is the recipient of the 2013 IEEE ComSoc Best Young Researcher Award for the Europe, Middle East, and Africa Region, and is co-author of a paper that won a "student paper award" at the 2012 International Symposium on Information Theory, and of a paper that won the 2013 IEEE Sweden VT-COM-IT joint chapter best student conference paper award. In 2015, he joined the editorial board of the IEEE Transactions on Communications as associate editor. From 2011 to 2014, he served as publications editor for the IEEE Transactions on Information Theory. His research interests are in the areas of communication and information theory and machine learning.