Stochastic Geometry Analysis of Cellular Networks

Author:   Bartłomiej Błaszczyszyn (Institut National de Recherche en Informatique et en Automatique (INRIA), Rocquencourt) ,  Martin Haenggi (University of Notre Dame, Indiana) ,  Paul Keeler ,  Sayandev Mukherjee
Publisher:   Cambridge University Press
ISBN:  

9781107162587


Pages:   206
Publication Date:   19 April 2018
Format:   Hardback
Availability:   In stock   Availability explained
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Stochastic Geometry Analysis of Cellular Networks


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Author:   Bartłomiej Błaszczyszyn (Institut National de Recherche en Informatique et en Automatique (INRIA), Rocquencourt) ,  Martin Haenggi (University of Notre Dame, Indiana) ,  Paul Keeler ,  Sayandev Mukherjee
Publisher:   Cambridge University Press
Imprint:   Cambridge University Press
Dimensions:   Width: 18.00cm , Height: 1.30cm , Length: 25.30cm
Weight:   0.560kg
ISBN:  

9781107162587


ISBN 10:   1107162580
Pages:   206
Publication Date:   19 April 2018
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In stock   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

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'These four renowned experts deliver a comprehensive yet curated treatment on the modelling and analysis of modern cellular networks using stochastic geometry, which has been one of the most important recent lines of wireless research. Highly recommended for interested researchers and engineers. Can serve as a useful companion to Haenggi's landmark stochastic geometry textbook, which had fairly minimal treatment of cellular networks.' Jeff Andrews, University of Texas at Austin


Advance praise: 'These four renowned experts deliver a comprehensive yet curated treatment on the modelling and analysis of modern cellular networks using stochastic geometry, which has been one of the most important recent lines of wireless research. Highly recommended for interested researchers and engineers. Can serve as a useful companion to Haenggi's landmark stochastic geometry textbook, which had fairly minimal treatment of cellular networks.' Jeff Andrews, University of Texas at Austin


Author Information

Bartlomiej Blaszczyszyn is Research Director at the Institut national de recherche en informatique et en automatique (INRIA), France and a faculty member of the joint INRIA-ENS research group, DYOGENE. Martin Haenggi is the Frank M. Freimann Professor of Electrical Engineering and a Concurrent Professor of Applied and Computational Mathematics at the University of Notre Dame, Indiana, and the author of Stochastic Geometry for Wireless Networks (Cambridge, 2012). Paul Keeler is a postdoctoral researcher at the Weierstrass Institute for Applied Analysis and Statistics, Germany. Sayandev Mukherjee is a Senior Research Engineer at DOCOMO Innovations Inc., and the author of Analytical Modeling of Heterogeneous Cellular Networks (Cambridge, 2014).

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