Stochastic geometry for wireless networks
By: Haenggi, Martin.
Publisher: Cambridge Cambridge University Press 2013Description: xv, 284p.ISBN: 9781107014695.Subject(s): Wireless communication systems -- Mathematics | Stochastic modelsDDC classification: 621.3980151922 | H118s Summary: 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 of wireless network performance and make good design choices for future wireless architectures and protocols that efficiently manage interference effects. Practical engineering applications are integrated with mathematical theory with an understanding of probability the only prerequisite. At the same time stochastic geometry is connected to percolation theory and the theory of random geometric graphs and accompanied by a brief introduction to the R statistical computing language. Combining theory and hands-on analytical techniques with practical examples and exercises this is a comprehensive guide to the spatial stochastic models essential for modelling and analysis of wireless network performance.| Item type | Current location | Collection | Call number | url | Copy number | Status | Date due | Barcode | Item holds |
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Books
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PK Kelkar Library, IIT Kanpur | General Stacks | 621.3980151922 H118s cop.1 (Browse shelf) | Copy 1 | Available | A176748 | |||
Text Books
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PK Kelkar Library, IIT Kanpur | TEXT | 621.3980151922 H118s cop.2 (Browse shelf) | Copy 2 | Available | A183360 | |||
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Text Books
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PK Kelkar Library, IIT Kanpur | TEXT | 621.3980151922 H118s cop.3 (Browse shelf) | Copy 3 | Available | A183361 |
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 of wireless network performance and make good design choices for future wireless architectures and protocols that efficiently manage interference effects. Practical engineering applications are integrated with mathematical theory with an understanding of probability the only prerequisite. At the same time stochastic geometry is connected to percolation theory and the theory of random geometric graphs and accompanied by a brief introduction to the R statistical computing language. Combining theory and hands-on analytical techniques with practical examples and exercises this is a comprehensive guide to the spatial stochastic models essential for modelling and analysis of wireless network performance.
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