Stochastic Geometry Analysis of Cellular Networks
作者： Bartłomiej Błaszczyszyn , Martin Haenggi , Sayandev Mukherjee , Paul Keeler
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摘要: Achieve faster and more efficient network design optimization with this comprehensive guide. Some of the most prominent researchers in field explain very latest analytic techniques results from stochastic geometry for modelling signal-to-interference-plus-noise ratio (SINR) distribution heterogeneous cellular networks. This book will help readers to understand effects combining different system deployment parameters on key performance indicators such as coverage capacity, enabling allocation simulation resources. In addition covering models based Poisson point process, presents recent when non-Poisson base station configurations appear Poisson, due random propagation fading shadowing, well configurations, a focus determinantal processes tractable approximation methods. Theoretical are illustrated practical Long-Term Evolution (LTE) applications compared real-world results.
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