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Stochastic Geometry Analysis Of Cellular Networks Baszczyszyn

Name: Stochastic Geometry Analysis Of Cellular Networks Baszczyszyn
SKU: BELL-9973528
Price: 31.00 USD
Availability: InStock
Rating: 4.1 (70 reviews)

SKU: BELL-9973528

$ 31.00 ~~$ 45.00~~ (-31%)

4.1

70 reviews

Stochastic Geometry Analysis Of Cellular Networks Baszczyszyn instant download after payment.

Publisher: Cambridge University Press

File Extension: PDF

File size: 2.61 MB

Pages: 192

Author: Błaszczyszyn, Bartłomiej et al.

ISBN: 9781107162587, 9781316677339, 1107162580, 1316677338

Language: English

Year: 2018

Product desciption

Stochastic Geometry Analysis Of Cellular Networks Baszczyszyn by Błaszczyszyn, Bartłomiej Et Al. 9781107162587, 9781316677339, 1107162580, 1316677338 instant download after payment.

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
Abstract: Achieve faster, more efficient network design and optimization with this comprehensive guide. Presenting the latest analytic methods and results from stochastic geometry for understanding the behaviour of heterogeneous cellular networks, and including practical Long-Term Evolution (LTE) applications, it is ideal for engineers who design wireless communication networks.