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TitleStochastic Geometry Analysis of Multi-Antenna Wireless Networks [electronic resource] / by Xianghao Yu, Chang Li, Jun Zhang, Khaled B. Letaief
ImprintSingapore : Springer Singapore : Imprint: Springer, 2019
Connect tohttps://doi.org/10.1007/978-981-13-5880-7
Descript XIV, 178 p. 37 illus., 16 illus. in color. online resource

SUMMARY

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.


CONTENT

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


Computer Communication Networks Telecommunication Wireless communication systems Mobile communication systems Distribution (Probability theory Computer Communication Networks. http://scigraph.springernature.com/things/product-market-codes/I13022 Communications Engineering Networks. http://scigraph.springernature.com/things/product-market-codes/T24035 Wireless and Mobile Communication. http://scigraph.springernature.com/things/product-market-codes/T24100 Probability Theory and Stochastic Processes. http://scigraph.springernature.com/things/product-market-codes/M27004 Signal Image and Speech Processing. http://scigraph.springernature.com/things/product-market-codes/T24051



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