Skip to content
Cart

Your Cart

×

You have 0 items in your cart.

Register Sign in Wishlist
Stochastic Geometry Analysis of Cellular Networks

Stochastic Geometry Analysis of Cellular Networks

c.£80.00

  • Publication planned for: February 2018
  • availability: Not yet published - available from February 2018
  • format: Hardback
  • isbn: 9781107162587

c.£ 80.00
Hardback

Pre-order Add to wishlist

Looking for an inspection copy?

This title is not currently available on inspection

Description
Product filter button
Description
Contents
Resources
Courses
About the Authors
  • Achieve faster and more efficient network design and optimization with this comprehensive guide. Some of the most prominent researchers in the field explain the very latest analytic techniques and results from stochastic geometry for modelling the signal-to-interference-plus-noise ratio (SINR) distribution in heterogeneous cellular networks. This book will help readers to understand the effects of combining different system deployment parameters on key performance indicators such as coverage and capacity, enabling the efficient allocation of simulation resources. In addition to covering results for network models based on the Poisson point process, this book presents recent results for when non-Poisson base station configurations appear Poisson, due to random propagation effects such as fading and shadowing, as well as non-Poisson models for base station configurations, with a focus on determinantal point processes and tractable approximation methods. Theoretical results are illustrated with practical Long-Term Evolution (LTE) applications and compared with real-world deployment results.

    • Presents the very latest results on signal-to-interference-plus-noise ratio (SINR) distribution in heterogeneous cellular networks obtained using the tools of stochastic geometry
    • Describes analytical techniques that are complementary to traditional simulation-based methods
    • Includes applications for next-generation (5G) deployments
    Read more

    Customer reviews

    Not yet reviewed

    Be the first to review

    Review was not posted due to profanity

    ×

    , create a review

    (If you're not , sign out)

    Please enter the right captcha value
    Please enter a star rating.
    Your review must be a minimum of 12 words.

    How do you rate this item?

    ×

    Product details

    • Publication planned for: February 2018
    • format: Hardback
    • isbn: 9781107162587
    • dimensions: 247 x 174 mm
    • contains: 21 b/w illus. 1 table
    • availability: Not yet published - available from February 2018
  • Table of Contents

    Part I. Stochastic Geometry:
    1. Introduction
    2. The role of stochastic geometry in HetNet analysis
    3. A brief course in stochastic geometry
    4. Statistics of received power at the typical location
    Part II. SINR Analysis:
    5. Downlink SINR: fundamental results
    6. Downlink SINR: advanced results
    7. Downlink SINR: further extensions
    8. Extensions to non-Poisson models.

  • Authors

    Bartłomiej Błaszczyszyn, Institut National de Recherche en Informatique et en Automatique (INRIA), Rocquencourt
    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, University of Notre Dame, Indiana
    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, Weierstrass Institute for Applied Analysis and Statistics
    Paul Keeler is a postdoctoral researcher at the Weierstrass Institute for Applied Analysis and Statistics, Germany.

    Sayandev Mukherjee, DOCOMO Innovations, Inc., Palo Alto
    Sayandev Mukherjee is a Senior Research Engineer at DOCOMO Innovations Inc., and the author of Analytical Modeling of Heterogeneous Cellular Networks (Cambridge, 2014).

Sign In

Please sign in to access your account

Cancel

Not already registered? Create an account now. ×

Sorry, this resource is locked

Please register or sign in to request access. If you are having problems accessing these resources please email lecturers@cambridge.org

Register Sign in
Please note that this file is password protected. You will be asked to input your password on the next screen.

» Proceed

You are now leaving the Cambridge University Press website. Your eBook purchase and download will be completed by our partner www.ebooks.com. Please see the permission section of the www.ebooks.com catalogue page for details of the print & copy limits on our eBooks.

Continue ×

Continue ×

Continue ×

Find content that relates to you

This site uses cookies to improve your experience. Read more Close

Are you sure you want to delete your account?

This cannot be undone.

Cancel

Thank you for your feedback which will help us improve our service.

If you requested a response, we will make sure to get back to you shortly.

×
Please fill in the required fields in your feedback submission.
×