Channel codes enable reliable transmission of information. For this reason, they are widely used in applications like mobile communication networks, server farms, fiber-optic communication, DVD, Blue Rays, deep space communication and many more. Now, how easy is it to find a “good” channel code? It was known that, under some conditions, if you pick at random from all possible codes you are likely to get a good one. So, we wondered: ok, but how good? In our new paper, presented at the IEEE International Symposium on Information Theory 2021, we make a step towards the answer to this question. We quantify how good a typical code is, providing a lower bound on “how fast” its error probability vanishes.
More details here
This work was funded by: Beatriu de Pinós fellowship programme / Secretary of Universities and Research (Government of Catalonia), European Union’s Horizon 2020 research and innovation programme / Marie Skłodowska-Curie grant agreement No. 801370, European Research Council under ERC grant agreement 725411.
Published by G.Cocco
I received my M.S. degree (Cum Laude) in Telecommunications Engineering from the University of Pisa, Pisa, Italy, and my Ph.D. degree in Telecommunications Engineering from the Polytechnic University of Catalonia (UPC), Barcelona, Spain. My Ph.D. studies were co-funded by the European Space Agency (ESA) and the Catalan Telecommunications Technological Center (CTTC) of Barcelona. During my Ph.D. studies I spent more than a year at ESA’s European Space Research and Technology Centre (ESTEC), Noordwijk, The Netherlands, working on the application of network coding in satellite communication networks. After my Ph.D. studies I spent nearly four years at the Institute for Communications and Navigation of the German Aerospace Center (DLR), near Munich, Germany, working as Senior Researcher and Project Manager. There I have been managing and working as researcher on projects funded by ESA, the European Union, and the German state. Between 2017 and 2019 I was with the Laboratory of Intelligent Systems (robotics) and with the LTS4 Signal Processing Laboratory of the École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, as a Marie Skłodowska-Curie Individual Fellow funded by the European Commission. While at EPFL I worked on UAV communications, focusing on delay-constrained video compression and streaming. Since 2019, after being awarded the Beatriu de Pinos grant by the Catalan Government, I am with the Information Theory and Coding group of Pompeu Fabra University (UPF), Barcelona, Spain. Here I am focusing on the fundamental limits of reliable communications, video streaming and UAV communications.
I published a number of international peer reviewed journals and conference papers, one book, one book chapter and I hold three patents.
I mentored several among Ph.D., M.S. and B.A. students, I served twice as member of Ph.D. evaluation committees and I have been session chair at several IEEE-funded international conferences.
I have been teaching assistant for EPFL "Aerial Robotics" master course (UAV communications, regulations for UAVs) and for the "Basics of Mobile Robotics" master course.
My research interests lie in the fields of satellite communications, UAV communications, video streaming, information theory, interference management, IoT, and robotics
View more posts