Stochastic Geometry Analysis of Multi-Antenna Wireless Networks

Nonfiction, Computers, Networking & Communications, Hardware, Science & Nature, Technology, Telecommunications, General Computing
Cover of the book Stochastic Geometry Analysis of Multi-Antenna Wireless Networks by Xianghao Yu, Chang Li, Jun Zhang, Khaled B. Letaief, Springer Singapore
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Author: Xianghao Yu, Chang Li, Jun Zhang, Khaled B. Letaief ISBN: 9789811358807
Publisher: Springer Singapore Publication: March 27, 2019
Imprint: Springer Language: English
Author: Xianghao Yu, Chang Li, Jun Zhang, Khaled B. Letaief
ISBN: 9789811358807
Publisher: Springer Singapore
Publication: March 27, 2019
Imprint: Springer
Language: English

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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