M. Haenggi

Publications
Influence

Stochastic Geometry for Wireless Networks

M. Haenggi
Computer Science
31 October 2012

A rigorous introduction to spatial stochastic geometry for wireless network performance . Expand

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M. Haenggi, R. Ganti
Mathematics, Computer Science
Found. Trends Netw.
13 November 2009

This monograph presents an overview of these results and gives an introduction to the analytical techniques used in their derivation. Expand

Stochastic geometry and random graphs for the analysis and design of wireless networks

M. Haenggi, J. Andrews, F. Baccelli, O. Dousse, M. Franceschetti
Computer Science
IEEE Journal on Selected Areas in Communications
1 September 2009

Wireless networks are fundamentally limited by the intensity of the received signals and by their interference. Expand

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97
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Interference and Outage in Clustered Wireless Ad Hoc Networks

R. Ganti, M. Haenggi
Computer Science, Mathematics
IEEE Transactions on Information Theory
16 June 2007

In the analysis of large random wireless networks, the underlying node distribution is almost ubiquitously assumed to be the homogeneous Poisson point process. Expand

Stochastic Geometry for Modeling, Analysis, and Design of Multi-Tier and Cognitive Cellular Wireless Networks: A Survey

Hesham Elsawy, E. Hossain, M. Haenggi
Computer Science
IEEE Communications Surveys & Tutorials
6 June 2013

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

Interference and Outage in Poisson Cognitive Networks

C. Lee, M. Haenggi
Mathematics, Computer Science
IEEE Transactions on Wireless Communications
20 February 2012

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

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

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

Distance Distributions in Finite Uniformly Random Networks: Theory and Applications

S. Srinivasa, M. Haenggi
Computer Science, Mathematics
IEEE Transactions on Vehicular Technology
25 April 2008

In wireless networks, knowledge of internode distances is essential for performance analysis and protocol design. Expand

A primer on spatial modeling and analysis in wireless networks

J. Andrews, R. Ganti, M. Haenggi, N. Jindal, S. Weber
Computer Science
IEEE Communications Magazine
1 November 2010

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

On distances in uniformly random networks

M. Haenggi
Mathematics, Computer Science
IEEE Transactions on Information Theory
1 October 2005

The distribution of Euclidean distances in Poisson point processes is determined. Expand

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