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Giuseppe Durisi
Giuseppe Durisi, Professor, Chalmers University of Technology, information theory, communication theory, machine learning, AI
Posts
Numerical routines for reproducible research
We have just uploaded the matlab code to reproduce the results reported in two recently published papers
Two Marie Skłodowska-Curie fellowships in our team
Two postdoctoral researchers in our team received prestigious individual fellowships
Jsait
title: “Generalization Bounds via Information Density and Conditional Information Density” date: 2020-12-03 read_time: false classes: wide excerpt: “A gen...
Massive MIMO for URLLC? Use multicell MMSE processing and avoid pilot contamination
How should one design a massive MIMO system so that it can support URLLC? In a recent article, we provide guidelines based on nonasymptotic information theory
Vacancies in my team
I am looking for a PhD student and a Post-doctoral researcher to join my team
Survey on short codes
A survey of good coding schemes for the transmission of short packets
My view on massive machine-type communications
Interview on massive machine-type communications for the Cognitive Networks Technical Committee Newsletter
Tutorial on short-packet transmission at Globecom 2018
Slides of our Globecom tutorial—short-packets communications: fundamentals and practical coding schemes
Two postdoctoral and one PhD positions available in my team
I am looking for 2 postdoctoral researchers and 1 PhD student who would like to join my team
WASP expedition project approved
A new research project in our team sponsored by WASP
VR project approved
A new research project in our team sponsored by VR
Invited presentation at PIMRC
Finite-blocklength information theory is an indispensable toolbox for the design of short-packet communication systems. In an invited presentation at this ye...
Our team has a new member
Fredrik Hellström has joined our team as new Ph.D. student
To appear in Trans. Inf. Theory
The following two papers will soon appear in the IEEE Transactions on Information Theory:
Designing URLLC via nonasymptotic information theory–part 4
Fourth part of my series of posts about the design of URLLC through finite-blocklength information theory: the metaconverse theorem.
Designing URLLC via nonasymptotic information theory–part 3
Third part of my series of posts about the design of URLLC through finite-blocklength information theory: the random-coding union bound with parameter s.
Presentation at TUM-COM Workshop
Presentation at the TUM-COM workshop on URLLC communications
Designing URLLC via nonasymptotic information theory–part 2
Second part of my series of posts about the design of URLLC through finite-blocklength information theory: the binary-input AWGN channel and its fundamental ...
Arxiv preprint: joint queuing-coding analysis for URLLC
R. Devassy, G. Durisi, G. C. Ferrante, O. Simeone, and E. Uysal-Biyikoglu, “Reliable transmission of short packets through queues and noisy channels under la...
A new Chalmers centre for artificial intelligence
Over the last eight months, I have been working together with many colleagues in the Information and Communication Technology Area of Advance at Chalmers on...
To appear in Trans. Inf. Theory
W. Yang, A. Collins, G. Durisi, Y. Polyanskiy, and H. V. Poor, “Beta-beta bounds: Finite-blocklength analog of the golden formula,” IEEE Tran. Inf. Theory, 2...
Designing URLLC via nonasymptotic information theory–part 1
An updated version of these notes can be found here
Paper at ISIT 2018
R. Devassy, G. Durisi, G. C. Ferrante, O. Simeone, and E. Uysal-Biyikoglu, “Delay and peak-age violation probability in short-packet transmission,” in Proc. ...
Welcome to my new blog!
Welcome to my new website–now hosted by github. I decided also to start a blog to help me summarizing regularly what I have been learning. This is the first ...