• Publications
  • Influence
Stochastic Geometry for Wireless Networks
TLDR
A rigorous introduction to spatial stochastic geometry for wireless network performance . Expand
  • 1,582
  • 404
  • PDF
Interference in Large Wireless Networks
TLDR
This monograph presents an overview of these results and gives an introduction to the analytical techniques used in their derivation. Expand
  • 809
  • 119
  • PDF
Stochastic geometry and random graphs for the analysis and design of wireless networks
TLDR
Wireless networks are fundamentally limited by the intensity of the received signals and by their interference. Expand
  • 1,539
  • 97
  • PDF
Interference and Outage in Clustered Wireless Ad Hoc Networks
  • R. Ganti, M. Haenggi
  • Computer Science, Mathematics
  • IEEE Transactions on Information Theory
  • 16 June 2007
TLDR
In the analysis of large random wireless networks, the underlying node distribution is almost ubiquitously assumed to be the homogeneous Poisson point process. Expand
  • 353
  • 42
  • PDF
Stochastic Geometry for Modeling, Analysis, and Design of Multi-Tier and Cognitive Cellular Wireless Networks: A Survey
TLDR
A comprehensive survey on the literature related to stochastic geometry models for single-tier as well as multi-tier and cognitive cellular wireless networks. Expand
  • 809
  • 41
  • PDF
Interference and Outage in Poisson Cognitive Networks
  • C. Lee, M. Haenggi
  • Mathematics, Computer Science
  • IEEE Transactions on Wireless Communications
  • 20 February 2012
TLDR
We use a Poisson cluster process to model the interference in a cognitive radio network with two types of users: primary users and cognitive users. Expand
  • 274
  • 39
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The Meta Distribution of the SIR in Poisson Bipolar and Cellular Networks
  • M. Haenggi
  • Mathematics, Computer Science
  • IEEE Transactions on Wireless Communications
  • 4 June 2015
TLDR
The calculation of the SIR distribution at the typical receiver (or, equivalently, the success probability of transmissions over the typical link) in Poisson bipolar and cellular networks with Rayleigh fading is relatively straightforward, but it only provides limited information on the success probabilities of the individual links. Expand
  • 158
  • 32
  • PDF
Distance Distributions in Finite Uniformly Random Networks: Theory and Applications
TLDR
In wireless networks, knowledge of internode distances is essential for performance analysis and protocol design. Expand
  • 214
  • 28
  • PDF
A primer on spatial modeling and analysis in wireless networks
TLDR
The performance of wireless networks depends critically on their spatial configuration, because received signal power and interference depend critically on the distances between numerous transmitters and receivers. Expand
  • 388
  • 26
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On distances in uniformly random networks
  • M. Haenggi
  • Mathematics, Computer Science
  • IEEE Transactions on Information Theory
  • 1 October 2005
TLDR
The distribution of Euclidean distances in Poisson point processes is determined. Expand
  • 535
  • 25
  • PDF
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