An Introduction to Cellular Network Analysis Using Stochastic Geometry

Derives coverage probability, area spectral efficiency, and outage probability for different network settings.

Format: Hardback
Length: 87 pages
Publication date: 01 July 2023
Publisher: Springer International Publishing AG

Analyzes heterogeneous and dense cellular networks, highlighting their unique challenges and opportunities

Explores the calculation of coverage probability, a fundamental metric for assessing network performance

Derives additional key performance metrics, such as area spectral efficiency, to understand the impact of densification

Includes comprehensive background material on stochastic geometry, ensuring a self-contained reference for readers
This comprehensive book offers an accessible yet rigorous introduction to modeling and analyzing cellular network performance using stochastic geometry. It caters to readers with an interest in understanding the principles and techniques involved in characterizing the behavior of mobile communication systems.

The book begins by providing a foundational overview of stochastic geometry, covering key concepts such as random variables, probability distributions, and Markov chains. This serves as a solid foundation for subsequent chapters, which delve into the application of stochastic geometry to cellular networks.

In addition to the canonical downlink and uplink settings, the book explores analyses of heterogeneous cellular networks and dense cellular networks. For each of these settings, the focus is on calculating the coverage probability, a fundamental metric that provides the complementary cumulative distribution function (CCDF) of signal-to-interference-and-noise ratio (SINR). Coverage probability complements the outage probability and is a key determinant of network performance.

By leveraging the coverage probability, the book derives other key performance metrics, such as area spectral efficiency. These metrics are particularly valuable in understanding the impact of densification on network performance. Densification refers to the deployment of additional base stations or cells to improve network coverage and capacity.

To make this book a truly self-contained reference, all the required background material from stochastic geometry is introduced in a coherent and digestible manner. The authors provide clear explanations and examples to help readers grasp the concepts and apply them to real-world scenarios.

Throughout the book, practical examples and case studies are used to illustrate the concepts and applications. These examples cover various cellular network scenarios, including urban areas, rural areas, and mobile data traffic. The authors use real-world data and measurements to demonstrate the effectiveness of the proposed analysis methods.

In conclusion, this book serves as an invaluable resource for researchers, engineers, and practitioners interested in understanding and improving the performance of cellular networks. It provides a comprehensive and up-to-date treatment of stochastic geometry applied to cellular networks, covering both theoretical foundations and practical implementations. With its clear and concise writing style, the book is accessible to a wide range of readers, including those with limited background in mathematics or engineering.

Weight: 372g
Dimension: 240 x 168 (mm)
ISBN-13: 9783031297427
Edition number: 1st ed. 2023