Stochastic geometry analysis of cellular networks / Bartłomiej Błaszczyszyn [and three others].
By: Błaszczyszyn, Bartłomiej [author.]
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Material type: 
BookPublisher: Cambridge : Cambridge University Press, 2018Description: 1 online resource (xiv, 192 pages) : digital, PDF file(s).Content type: text Media type: computer Carrier type: online resourceISBN: 9781316677339 (ebook).Subject(s): Wireless communication systems -- Mathematics | Stochastic models | Stochastic geometryAdditional physical formats: Print version: : No titleDDC classification: 621.3845/60151922 Online resources: Click here to access online Summary: 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.
Title from publisher's bibliographic system (viewed on 04 Apr 2018).
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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