Stochastic Geometry Analysis of Multi-Antenna Wireless Networks / by Xianghao Yu, Chang Li, Jun Zhang, Khaled B. Letaief

By:

Yu, Xianghao [VerfasserIn]

Contributor(s):

Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Springer eBooks Computer SciencePublisher: Singapore : Springer, 2019Description: 1 Online-Ressource (XIV, 178 p. 37 illus., 16 illus. in color)ISBN:

9789811358807

Subject(s):

Additional physical formats: 9789811358791 | Erscheint auch als: 978-981-13-5879-1 Druck-AusgabeLOC classification:

TK5105.5-5105.9

DOI: DOI: 10.1007/978-981-13-5880-7Online resources:

Summary: 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 -- ConclusionsSummary: 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 effectivenessPPN: PPN: 1666748404Package identifier: Produktsigel: ZDB-2-SCS | ZDB-2-SEB | ZDB-2-SXCS

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