An Introduction to Cellular Network Analysis Using Stochastic Geometry (1st ed. 2023) (Synthesis Lectures on Learning, Networks, and Algorithms)

Synopsis

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

Copyright:

2023

Book Details

Book Quality:

Publisher Quality

ISBN-13:

9783031297434

Related ISBNs:

9783031297427

Publisher:

Springer International Publishing

Date of Addition:

08/01/23

Copyrighted By:

The Editor

Adult content:

No

Language:

English

Has Image Descriptions:

No

Categories:

Nonfiction, Computers and Internet, Technology, Mathematics and Statistics, Communication

Submitted By:

Bookshare Staff

Usage Restrictions:

This is a copyrighted book.