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Stochastic Geometry Analysis of Space-Air-Ground Networks [electronic resource] / by Minwei Shi, Kai Yang, He Zhou.

By: Contributor(s): Material type: TextPublisher: Singapore : Springer Nature Singapore : Imprint: Springer, 2024Edition: 1st ed. 2024Description: XI, 123 p. 37 illus., 32 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9789819762668
Subject(s):
Additional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleLOC classification:
  • TK5103.2-.4885
Online resources:
Contents:
Introduction -- Fundamentals of Wireless Network Analysis -- Terrestrial Cellular Networks with Dependence -- Unmanned Aerial Vehicle-Assisted Cellular Networks -- Low Earth Orbit Satellite Networks -- Summary and Discussion.
In: Springer Nature eBookSummary: This book presents a comprehensive framework for the theoretical analysis of space-air-ground networks using stochastic geometry. This analytical approach is indispensable for evaluating the performance of large-scale space-air-ground networks, which serve as critical facilitators for the advancement of the sixth-generation wireless communication aimed at providing high-speed broadband coverage for remote areas. By incorporating the features of topology and channel model in different tiers, this book investigates the key performance metrics in terms of load balancing, coverage assessment, and mobility management. The developed mechanisms provide effective design insights for space-air-ground networks while obviating the need for complex system-level simulations.
Item type: List(s) this item appears in: Titluri cărți electronice Springer Nature 2025 (10631 titluri)
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Introduction -- Fundamentals of Wireless Network Analysis -- Terrestrial Cellular Networks with Dependence -- Unmanned Aerial Vehicle-Assisted Cellular Networks -- Low Earth Orbit Satellite Networks -- Summary and Discussion.

This book presents a comprehensive framework for the theoretical analysis of space-air-ground networks using stochastic geometry. This analytical approach is indispensable for evaluating the performance of large-scale space-air-ground networks, which serve as critical facilitators for the advancement of the sixth-generation wireless communication aimed at providing high-speed broadband coverage for remote areas. By incorporating the features of topology and channel model in different tiers, this book investigates the key performance metrics in terms of load balancing, coverage assessment, and mobility management. The developed mechanisms provide effective design insights for space-air-ground networks while obviating the need for complex system-level simulations.

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