Stochastic Geometry Analysis of Space-Air-Ground Networks
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Beschreibung
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.
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.
Provides a comprehensive analytical model for space-air-ground communication networks Investigates the performance of load balancing, coverage assessment, and mobility management Offers in-depth designing guidelines for space-air-ground communication networks
Autor*in
Minwei Shi
Themen in »Stochastic Geometry Analysis of Space-Air-Ground Networks«
Wireless Networks Space-air-ground Networks Performance Analysis Coverage Probability Stochastic Geometry