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.
| Autorius: | Xianghao Yu, Khaled B. Letaief, Jun Zhang, Chang Li, |
| Leidėjas: | Springer Nature Singapore |
| Išleidimo metai: | 2019 |
| Knygos puslapių skaičius: | 192 |
| ISBN-10: | 9811358796 |
| ISBN-13: | 9789811358791 |
| Formatas: | Knyga kietu viršeliu |
| Kalba: | Anglų |
| Žanras: | Stochastics |
Parašykite atsiliepimą apie „Stochastic Geometry Analysis of Multi-Antenna Wireless Networks“
