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Stochastic Geometry Analysis of Cellular Networks

Stochastic Geometry Analysis of Cellular Networks

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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.
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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.
Produktdetaljer
Sprog: Engelsk
Sider: 206
ISBN-13: 9781107162587
Indbinding: Hardback
Udgave:
ISBN-10: 1107162580
Udg. Dato: 19 apr 2018
Længde: 13mm
Bredde: 180mm
Højde: 253mm
Forlag: Cambridge University Press
Oplagsdato: 19 apr 2018
Forfatter(e) Paul Keeler, Bartlomiej Blaszczyszyn, Martin Haenggi, Sayandev Mukherjee


Kategori Sandsynlighedsregning og statistik


ISBN-13 9781107162587


Sprog Engelsk


Indbinding Hardback


Sider 206


Udgave


Længde 13mm


Bredde 180mm


Højde 253mm


Udg. Dato 19 apr 2018


Oplagsdato 19 apr 2018


Forlag Cambridge University Press

Kategori sammenhænge