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An Introduction to Cellular Network Analysis Using Stochastic Geometry

An Introduction to Cellular Network Analysis Using Stochastic Geometry

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This book provides an accessible yet rigorous first reference for readers interested in learning how to model and analyze cellular network performance using stochastic geometry. In addition to the canonical downlink and uplink settings, analyses of heterogeneous cellular networks and dense cellular networks are also included. For each of these settings, the focus is on the calculation of coverage probability, which gives the complementary cumulative distribution function (ccdf) of signal-to-interference-and-noise ratio (SINR) and is the complement of the outage probability. Using this, other key performance metrics, such as the area spectral efficiency, are also derived. These metrics are especially useful in understanding the effect of densification on network performance. In order to make this a truly self-contained reference, all the required background material from stochastic geometry is introduced in a coherent and digestible manner. This Book:Provides an approachable introduction to the analysis of cellular networks and illuminates key system dependenciesFeatures an approach based on stochastic geometry as applied to cellular networks including both downlink and uplinkFocuses on the statistical distribution of signal-to-interference-and-noise ratio (SINR) and related metrics
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Tjek vores konkurrenters priser
This book provides an accessible yet rigorous first reference for readers interested in learning how to model and analyze cellular network performance using stochastic geometry. In addition to the canonical downlink and uplink settings, analyses of heterogeneous cellular networks and dense cellular networks are also included. For each of these settings, the focus is on the calculation of coverage probability, which gives the complementary cumulative distribution function (ccdf) of signal-to-interference-and-noise ratio (SINR) and is the complement of the outage probability. Using this, other key performance metrics, such as the area spectral efficiency, are also derived. These metrics are especially useful in understanding the effect of densification on network performance. In order to make this a truly self-contained reference, all the required background material from stochastic geometry is introduced in a coherent and digestible manner. This Book:Provides an approachable introduction to the analysis of cellular networks and illuminates key system dependenciesFeatures an approach based on stochastic geometry as applied to cellular networks including both downlink and uplinkFocuses on the statistical distribution of signal-to-interference-and-noise ratio (SINR) and related metrics
Produktdetaljer
Sprog: Engelsk
Sider: 87
ISBN-13: 9783031297427
Indbinding: Hardback
Udgave:
ISBN-10: 3031297423
Kategori: Stokastik
Udg. Dato: 1 jul 2023
Længde: 0mm
Bredde: 168mm
Højde: 240mm
Forlag: Springer International Publishing AG
Oplagsdato: 1 jul 2023
Forfatter(e) Harpreet S. Dhillon, Abhishek K. Gupta, Jeffrey G. Andrews, Ahmad Alammouri


Kategori Stokastik


ISBN-13 9783031297427


Sprog Engelsk


Indbinding Hardback


Sider 87


Udgave


Længde 0mm


Bredde 168mm


Højde 240mm


Udg. Dato 1 jul 2023


Oplagsdato 1 jul 2023


Forlag Springer International Publishing AG

Kategori sammenhænge