• Publications
  • Influence

Claim Your Author Page
Ensure your research is discoverable on Semantic Scholar. Claiming your author page allows you to personalize the information displayed and manage your publications. Semantic Scholar automatically creates author pages based on data aggregated from public sources and our publisher partners.
  • Martin Haenggi
  • Computer Science
  • 2012 (First Publication: 31 October 2012)
  • Covering point process theory, random geometric graphs and coverage processes, this rigorous introduction to stochastic geometry will enable you to obtain powerful, general estimates and bounds ofContinue Reading
  • Martin Haenggi, R. Ganti
  • Mathematics, Computer Science
  • Foundations and Trends in Networking
  • 2009 (First Publication: 13 November 2009)
  • Since interference is the main performance-limiting factor in most wireless networks, it is crucial to characterize the interference statistics. The two main determinants of the interference are theContinue Reading
  • Martin Haenggi, Jeffrey G. Andrews, François Baccelli, Olivier Dousse, Massimo Franceschetti
  • Computer Science
  • IEEE Journal on Selected Areas in Communications
  • 2009 (First Publication: 1 September 2009)
  • Wireless networks are fundamentally limited by the intensity of the received signals and by their interference. Since both of these quantities depend on the spatial location of the nodes,Continue Reading
  • Hesham Elsawy, Ekram Hossain, Martin Haenggi
  • Computer Science
  • IEEE Communications Surveys & Tutorials
  • 2013 (First Publication: 23 January 2013)
  • For more than three decades, stochastic geometry has been used to model large-scale ad hoc wireless networks, and it has succeeded to develop tractable models to characterize and better understandContinue Reading
  • Martin Haenggi
  • Computer Science, Mathematics
  • IEEE Transactions on Information Theory
  • 2005 (First Publication: 1 October 2005)
  • The distribution of Euclidean distances in Poisson point processes is determined. The main result is the density function of the distance to the n-nearest neighbor of a homogeneous process in Ropfm,Continue Reading