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Stochastic geometry analysis of mult...

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Stochastic geometry analysis of multi-antenna wireless networks

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Stochastic geometry analysis of multi-antenna wireless networksby Xianghao Yu ... [et al.].
其他作者:	Yu, Xianghao.
出版者:	Singapore :Springer Singapore :2019.
面頁冊數:	xiv, 178 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Wireless communication systemsMathematics.
電子資源:	https://doi.org/10.1007/978-981-13-5880-7
ISBN:	9789811358807$q(electronic bk.)

Stochastic geometry analysis of multi-antenna wireless networks
Stochastic geometry analysis of multi-antenna wireless networks[electronic resource] /by Xianghao Yu ... [et al.]. - Singapore :Springer Singapore :2019. - xiv, 178 p. :ill., digital ;24 cm.

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.

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.

ISBN: 9789811358807$q(electronic bk.)

Standard No.: 10.1007/978-981-13-5880-7doiSubjects--Topical Terms:

208175
Wireless communication systems
--Mathematics.

LC Class. No.: TK5103.2

Dewey Class. No.: 621.384

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520 $a 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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