Stochastic Geometry Analysis of Multi-Antenna Wireless Networks
Nonfiction, Computers, Networking & Communications, Hardware, Science & Nature, Technology, Telecommunications, General Computing
| Author: | Xianghao Yu, Chang Li, Jun Zhang, Khaled B. Letaief | ISBN: | 9789811358807 |
| Publisher: | Springer Singapore | Publication: | March 27, 2019 |
| Imprint: | Springer | Language: | English |
| Author: | Xianghao Yu, Chang Li, Jun Zhang, Khaled B. Letaief |
| ISBN: | 9789811358807 |
| Publisher: | Springer Singapore |
| Publication: | March 27, 2019 |
| Imprint: | Springer |
| Language: | English |
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.
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.
