20 Aug

IEEE Distinguished Lecture Tour by Prof. Marco Di Renzo

On behalf of the IEEE joint VT/COM/IT Sweden Chapter Board, We are delighted to invite you to an IEEE VTS Distinguished Lecture Tour (DLT) by Prof. Marco Di Renzo, Paris-Saclay University/ CNRS, France.

Title: On System-Level Analysis & Design of Cellular Networks: The Magic of Stochastic Geometry

Abstract:
This talk is aimed to provide a comprehensive crash course on the critical and essential importance of spatial models for an accurate system-level analysis and optimization of emerging 5G ultra-dense and heterogeneous cellular networks. Due to the increased heterogeneity and deployment density, new flexible and scalable approaches for modeling, simulating, analyzing and optimizing cellular networks are needed. Recently, a new approach has been proposed: it is based on the theory of point processes and it leverages tools from stochastic geometry for tractable system-level modeling, performance evaluation and optimization. The potential of stochastic geometry for modeling and analyzing cellular networks will be investigated for application to several emerging case studies, including massive MIMO, mmWave communication, and wireless power transfer. In addition, the accuracy of this emerging abstraction for modeling cellular networks will be experimentally validated by using base station locations and building footprints from two publicly available databases in the United Kingdom (OFCOM and Ordnance Survey). This topic is highly relevant to graduate students and researchers from academia and industry, who are highly interested in understanding the potential of a variety of candidate communication technologies for 5G networks.

Seminar#1 – NTNU, Trondheim, Norway
Date and time: Aug 21, 2017, 11:00-12:30 (TBC).
Location: TBD, please contact local hosts for further information.
Local hosts: Pierluigi Salvorossi, pierluigi.salvorossi@ntnu.no, and Yuming Jiang, jiang@item.ntnu.no.

Seminar#2 – Chalmers, Gothenburg, Sweden
Date and time: Aug 22, 2017, 10:30-12:00.
Location: Room EC, floor 4, EDIT building, Hörsalsvägen 11, Campus Johanneberg, Chalmers University of Technology, Gothenburg, Sweden.
Local host: Tommy Svensson, tommy.svensson@chalmers.se

Seminar#3 – Linköping University, Linköping, Sweden
Date and time: Aug 23, 2017, 13:15-14:45.
Location: Room Systemet, floor 2, B-building, Campus Valla, Linköping University, 581 83 Linköping, Sweden
Local host: Danyo Danev, danyo.danev@liu.se.

Seminar#4 – Linköping University, Norrköping, Sweden
Date and time: Aug 24, 2017, 11:00-12:30.
Location: Buildning Spetsen, room SP35, Linköping University, Norrköping.
Local host: Di Yuan, di.yuan@liu.se.

Seminar#5 – KTH, Stockholm, Sweden
Date and time: Aug 25, 2017, 11:00-12:30 (TBC).
Location: TBD, please contact local host for further information.
Local host: Carlo Fischione, carlofi@kth.se.

For any further questions related to a specific seminar, please contact the respective local host(s).

Biography:
Marco Di Renzo received the “Laurea” and Ph.D. degrees in Electrical and Information Engineering from the University of L’Aquila, Italy, in 2003 and 2007, respectively. In October 2013, he received the Doctor of Science degree from the University Paris-Sud, France. Since 2010, he has been a “Chargé de Recherche Titulaire” CNRS (CNRS Associate Professor) in the Laboratory of Signals and Systems of Paris-Saclay University – CNRS, CentraleSupélec, Univ Paris Sud, France. He is an Adjunct Professor at the University of Technology Sydney, Australia, a Visiting Professor at the University of L’Aquila, Italy, and a co-founder of the university spin-off company WEST Aquila s.r.l., Italy. He serves as the Associate Editor-in-Chief of IEEE
COMMUNICATIONS LETTERS, and as an Editor of IEEE TRANSACTIONS ON COMMUNICATIONS and IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS. He is a Distinguished Lecturer of the IEEE Vehicular Technology Society and IEEE Communications Society. He is a recipient of several awards, and a frequent tutorial and invited speaker at IEEE conferences.

20 Sep

IEEE Distinguished Lecture by Prof. Henry Pfister

 

On Friday September 16th Prof. Henry Pfister from Duke University had a DLT lecture at the Department of Electrical and Information Technology, Lund University. The topic of the lecture was “Graphical Models and Inference: Insights from Spatial Coupling”.

The slides of the lecture can be found here.

Abstract

This talk focuses on recent theoretical and practical advances in coding, compressed sensing, and multiple-access communication based on spatially-coupled graphical models.  The goal is to introduce the key ideas and insights using concrete examples.  First, we introduce factor graphs and belief propagation (BP) as tools for understanding large systems of dependent random variables.  Then, we describe how these techniques are applied to problems in signal processing and communications.  Next, we use the example of low-density parity-check (LDPC) codes on the binary erasure channel to introduce the idea of density-evolution analysis.  A key result is that BP decoding algorithms have a noise threshold below which recovery succeeds with high probability.  Finally, we discuss how extrinsic-information transfer (EXIT) functions can be used to compare the performance between BP and optimal decoding.

Biography

Henry D. Pfister received his Ph.D. in electrical engineering in 2003 from the University of California, San Diego and he is currently an associate professor in the electrical and computer engineering department of Duke University.  Prior to that, he was a professor at Texas A&M University (2006-2014), a post-doctoral fellow at the École Polytechnique Fédérale de Lausanne (2005-2006), and a senior engineer at Qualcomm Corporate R&D in San Diego (2003-2004).
He received the NSF Career Award in 2008, the Texas A&M ECE Department Outstanding Professor Award in 2010, the IEEE COMSOC best paper in Signal Processing and Coding for Data Storage in 2007, and a 2016 STOC Best Paper Award.  He is currently an associate editor in coding theory for the IEEE Transactions on Information Theory (2013-2016) and a Distinguished Lecturer of the IEEE Information Theory Society (2015-2016).
His current research interests include information theory, communications, probabilistic graphical models, and machine learning.