"Stochastic Geometry for 5G Cellular Network Modeling and Analysis"


IEEE ComSoc Distinguished Seminar by: IEEE Fellow - Prof. Martin Haenggi (U. Notre Dame, IN, USA)

  Date and Time




  • 1515 Ste. Catherine West (corner wit Guy)
  • Montreal, Quebec
  • Canada H3C-1K3
  • Building: Engineering and Visual Arts Complex (EV Building)
  • Room Number: EV002.184
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  • For any information about this notice, please contact any of the following: IEEE ComSoc/ITSoc Chapter Chair, Dr. Anader Benyamin-Seeyar (anader.benyamin@ieee.org) OR IEEE VTS President & IEEE Montreal Section Chair, Prof. Fabrice Labeau (fabrice.labeau@mcgill.ca) OR IEEE Montreal Section volunteer, Dr. Mouhamed Abdulla (ma14@ieee.org).

  • Co-sponsored by IEEE ComSoc/ITSoc/VTS Chapters, IEEE Montreal Section, Concordia University
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Martin Haenggi
Martin Haenggi of University of Notre Dame


"Stochastic Geometry for 5G Cellular Network Modeling and Analysis"

Future cellular systems are characterized by irregular and heterogeneous deployments with high densities of base stations. As a result, base stations and users are best modeled using stochastic point processes, which permits the application of the powerful tools of stochastic geometry for the network performance analysis. In the first part of this talk, we give a brief introduction to stochastic geometry, including the main models and the key results that enable closed-form calculations of distributions and spatial averages of network performance metrics. In the second part, we focus on emerging single- and multi-tier cellular systems. The main metrics of interest are the distribution of the signal-to-interference ratio (SIR) and the network capacity. First focusing on a Poisson model for the base stations (BSs), we derive the SIR statistics for different cases of BS cooperation, including BS silencing and joint transmission (CoMP), and we show the effects of network densification. Next we present a novel and simple analytical framework based on the mean interference-to-signal ratio that yields simple expressions that provide very good approximations of the SIR distributions for many types of deployments and cooperation schemes. Lastly, we introduce the concept of the SIR meta distribution, which gives fine-grained information about the per-user experience in a cellular network.


Martin Haenggi is a Professor of Electrical Engineering and a Concurrent Professor of Applied and Computational Mathematics and Statistics at the University of Notre Dame, Indiana, USA. He received the Dipl.Ing. (M.Sc.) and Dr.sc.techn. (Ph.D.) degrees in electrical engineering from the Swiss Federal Institute of Technology in Zurich (ETH) in 1995 and 1999, respectively. He served on the Editorial Boards of the Journal of Ad Hoc Networks, the IEEE Transactions on Mobile Computing, the IEEE Journal on Selected Areas in Communications, the IEEE Trans. on Vehicular Technology, and the ACM Trans. on Sensor Networks. Currently he is the chair of the Executive Editorial Committee of the IEEE Trans. on Wireless Communications. He is the author of the monograph "Interference in Large Wireless Networks" (NOW Publishers, 2008) and the textbook "Stochastic Geometry for Wireless Networks" (Cambridge, 2012), and more than 200 articles in international journals and conferences. He is a Fellow of the IEEE, and he received the ETH Medal for both his M.Sc. and Ph.D. theses, a CAREER award from the U.S. National Science Foundation in 2005, and the 2010 IEEE Communications Society Best Tutorial Paper award.

Address:Notre Dame, Indiana, United States


1) Technical Talk

2) Q&A Session

3) Networking