Stochastic Geometry Analysis of Multi-Antenna Wireless Networks /
[Book]
Xianghao Yu, Chang Li, Jun Zhang and Khaled B. Letaief.
Singapore :
Springer,
[2019]
1 online resource
Includes bibliographical references.
Intro; Preface; Acknowledgements; Contents; Acronyms; 1 Introduction; 1.1 The Cellular Network Evolution; 1.2 Paving the Way for 5G Networks; 1.2.1 Ultra-Dense Networks to Increase Spatial Spectrum Reuse; 1.2.2 Multi-Antenna Transmissions for Higher Spectral Efficiency; 1.2.3 Beyond Sub-6 GHz for More Spectrum; 1.2.4 Two Dominant Themes; 1.3 Modeling and Analysis of Wireless Networks; 1.4 Outline of the Monograph; References; 2 Fundamentals of Wireless Network Analysis; 2.1 Spatial Models of Wireless Networks; 2.1.1 Stochastic Geometry; 2.1.2 Point Processes; 2.1.3 Poisson Network Models
2.1.4 Examples of Poisson Network Models2.2 Network Performance Metrics; 2.3 Interference Distribution in Poisson Wireless Networks; 2.3.1 Sums and Products over Point Processes; 2.3.2 Laplace Transform of Interference Distribution; 2.3.3 Example: Rayleigh Fading; 2.4 Performance Analysis of Single-Antenna Networks; 2.4.1 Cellular Networks; 2.4.2 Ad Hoc Networks; References; 3 An Analytical Framework for Multi-Antenna Wireless Networks; 3.1 Modeling Multi-Antenna Wireless Networks; 3.1.1 Network Model and Notations; 3.1.2 Signal-to-Interference-Plus-Noise Ratio (SINR)
3.2 Multi-Antenna Techniques3.2.1 Single-User MIMO; 3.2.2 Multiuser MIMO; 3.2.3 Distributions of MIMO Signal Power Gains; 3.3 A General Analytical Framework; 3.3.1 Challenges in Multi-Antenna Network Analysis; 3.3.2 Analytical Framework; 3.3.3 More General Distributions for the Signal Power Gain; 3.3.4 Single-Antenna Versus Multi-Antenna Networks; 3.4 Coverage Analysis of General Multi-Antenna Networks; 3.4.1 Cellular Networks; 3.4.2 Ad Hoc Networks; 3.5 Properties of General Multi-Antenna Networks; 3.5.1 Densification: Impact of BS Density; 3.5.2 MIMO: Impact of Antenna Size; 3.6 Summary
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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 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.
Springer Nature
com.springer.onix.9789811358807
Stochastic Geometry Analysis of Multi-Antenna Wireless Networks.