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190425 ||| eng |
| 020 |
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|a 9789811358807
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| 100 |
1 |
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|a Yu, Xianghao
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| 245 |
0 |
0 |
|a Stochastic Geometry Analysis of Multi-Antenna Wireless Networks
|h Elektronische Ressource
|c by Xianghao Yu, Chang Li, Jun Zhang, Khaled B. Letaief
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| 250 |
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|a 1st ed. 2019
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| 260 |
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|a Singapore
|b Springer Nature Singapore
|c 2019, 2019
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| 300 |
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|a XIV, 178 p. 37 illus., 16 illus. in color
|b online resource
|
| 505 |
0 |
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|a 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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| 653 |
|
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|a Computer Communication Networks
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| 653 |
|
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|a Wireless communication systems
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| 653 |
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|a Wireless and Mobile Communication
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| 653 |
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|a Mobile communication systems
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| 653 |
|
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|a Probability Theory
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| 653 |
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|a Computer networks
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| 653 |
|
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|a Signal, Speech and Image Processing
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| 653 |
|
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|a Telecommunication
|
| 653 |
|
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|a Communications Engineering, Networks
|
| 653 |
|
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|a Signal processing
|
| 653 |
|
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|a Probabilities
|
| 700 |
1 |
|
|a Li, Chang
|e [author]
|
| 700 |
1 |
|
|a Zhang, Jun
|e [author]
|
| 700 |
1 |
|
|a Letaief, Khaled B.
|e [author]
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
|
| 989 |
|
|
|b Springer
|a Springer eBooks 2005-
|
| 028 |
5 |
0 |
|a 10.1007/978-981-13-5880-7
|
| 856 |
4 |
0 |
|u https://doi.org/10.1007/978-981-13-5880-7?nosfx=y
|x Verlag
|3 Volltext
|
| 082 |
0 |
|
|a 004.6
|
| 520 |
|
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|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.
|