Seminar Announcement
November 12th, 2013 3:00pm - 4:00pm, Purdy Kresge Library Room 110 "Interference Modeling and Analysis in Large Wireless Networks"
Martin Haenggi, Professor
Electrical Engineering and a Concurrent Professor of Applied and Computational Mathematics and Statistics at the University of Notre Dame
Abstract
The analysis of large wireless systems relies on a spatial model for the node distribution, since the node locations greatly affect the network performance. Using stochastic geometry as the main mathematical tool, significant progress has been made in recent years in the characterization of the aggregate interference and the distribution of the signal-to-interference ratio (SIR). In this talk, we give an overview of the main techniques and results for the interference and SIR analysis using the Poisson point process as the underlying model for the node locations. We present applications in ad hoc, cognitive, and cellular networks and discuss extensions to non-Poisson models.
About the Speaker
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 Trans. on Mobile Computing, the IEEE Journal on Selected Areas in Communications, the IEEE Trans. on Vehicular Technology, and the ACM Trans. on Sensor Networks. He was a Distinguished Lecturer for the IEEE Circuits and Systems Society in 2005-06 and the Keynote Speaker at the 2013 Workshop on Spatial Stochastic Models for Wireless Networks, and he authored the monograph "Interference in Large Wireless Networks" (NOW Publishers, 2008) and the textbook "Stochastic Geometry for Wireless Networks" (Cambridge, 2012). 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.
