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Record Nr. |
UNINA9910350221403321 |
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Autore |
Yu Xianghao |
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Titolo |
Stochastic Geometry Analysis of Multi-Antenna Wireless Networks / / by Xianghao Yu, Chang Li, Jun Zhang, Khaled B. Letaief |
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Pubbl/distr/stampa |
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Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019 |
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ISBN |
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Edizione |
[1st ed. 2019.] |
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Descrizione fisica |
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1 online resource (XIV, 178 p. 37 illus., 16 illus. in color.) |
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Disciplina |
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Soggetti |
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Computer networks |
Electrical engineering |
Wireless communication systems |
Mobile communication systems |
Probabilities |
Signal processing |
Image processing |
Speech processing systems |
Computer Communication Networks |
Communications Engineering, Networks |
Wireless and Mobile Communication |
Probability Theory and Stochastic Processes |
Signal, Image and Speech Processing |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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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. |
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Sommario/riassunto |
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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 |
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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 frameworkâs effectiveness. . |
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