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 brief provides a comprehensive introduction on the flow-induced instabilities (e.g., the pressure fluctuations and the vibrations) of the reversible pump turbines (RPTs) in the pumped hydro energy storage power stations (PHSEPSs) in China based on long-term field tests. The pressure fluctuations and the vibrations of several RPTs in China under different operational conditions are analysed in detail to reveal their generation mechanisms and propagation characteristics. The book presents advanced signal analysis and processing methods which are used for obtaining the time-frequency information and for finding the internal correlations between several types of signals. Advanced artificial intelligence algorithms are adopted for understanding the effective fault diagnosis and the identification of different flow patterns. The book overviews the fundamentals of the RPTs and the signal analysis methods, while it demonstrates that the analysis results of the pressure fluctuation and vibration data may be employed for the calibration of numerical simulations and the comparisons of model tests. It is primarily targeted to researchers and engineers working on the fields of condition monitoring and fault diagnosis of hydraulic machineries.
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.
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