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Opis

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.

Szczegóły książki

Kategoria Books in English Computing & information technology Computer science Mathematical theory of computation

• Pełny tytuł: An Introduction to Cellular Network Analysis using Stochastic Geometry
• Autor: Jeffrey G. Andrews, Abhishek K. Gupta, Ahmad Alammouri, Harpreet S. Dhillon
• Język: Angielski
• Oprawa: Twarda
• EAN: 9783031297427
• ID: 43050100
• Wydawca: Springer, Berlin
• Wymiary: 235 × 155 mm
• Data wydania: 11. August 2023

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