Stochastic Geometry Analysis of Multi-Antenna Wireless Networks [electronic resource] /

By:

Yu, Xianghao [author.]

Contributor(s):

Material type: Text

TextPublisher: Singapore : Springer Nature Singapore : Imprint: Springer, 2019Edition: 1st ed. 2019Description: XIV, 178 p. 37 illus., 16 illus. in color. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9789811358807

Subject(s):

Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:

004.6 23

LOC classification:

TK5105.5-5105.9

Online resources:

Click here to access online

Contents:

Introduction -- Fundamentals of Wireless Networks -- A Framework for Analyzing Multi-Antenna Wireless Networks -- Analysis of Multi-Antenna Wireless Networks -- Optimization of Multi-Antenna Wireless Networks -- Conclusions.

In: Springer Nature eBookSummary: This book presents a unified framework for the tractable analysis of large-scale, multi-antenna wireless networks using stochastic geometry. This mathematical analysis is essential for assessing and understanding the performance of complicated multi-antenna networks, which are one of the foundations of 5G and beyond networks to meet the ever-increasing demands for network capacity. Describing the salient properties of the framework, which makes the analysis of multi-antenna networks comparable to that of their single-antenna counterparts, the book discusses effective design approaches that do not require complex system-level simulations. It also includes various application examples with different multi-antenna network models to illustrate the framework’s effectiveness. .

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This book presents a unified framework for the tractable analysis of large-scale, multi-antenna wireless networks using stochastic geometry. This mathematical analysis is essential for assessing and understanding the performance of complicated multi-antenna networks, which are one of the foundations of 5G and beyond networks to meet the ever-increasing demands for network capacity. Describing the salient properties of the framework, which makes the analysis of multi-antenna networks comparable to that of their single-antenna counterparts, the book discusses effective design approaches that do not require complex system-level simulations. It also includes various application examples with different multi-antenna network models to illustrate the framework’s effectiveness. .

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