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Titlebook: An Introduction to Cellular Network Analysis Using Stochastic Geometry; Jeffrey G. Andrews,Abhishek K. Gupta,Harpreet S. D Textbook 2023 T

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發(fā)表于 2025-3-21 16:51:18 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱An Introduction to Cellular Network Analysis Using Stochastic Geometry
影響因子2023Jeffrey G. Andrews,Abhishek K. Gupta,Harpreet S. D
視頻videohttp://file.papertrans.cn/156/155166/155166.mp4
發(fā)行地址Provides an approachable introduction to the analysis of cellular networks and illuminates key system dependencies.Features an approach based on stochastic geometry as applied to cellular networks inc
學(xué)科分類Synthesis Lectures on Learning, Networks, and Algorithms
圖書封面Titlebook: An Introduction to Cellular Network Analysis Using Stochastic Geometry;  Jeffrey G. Andrews,Abhishek K. Gupta,Harpreet S. D Textbook 2023 T
影響因子.This book provides an accessible yet rigorous first reference for readers interested in learning how to model and analyze cellular network performance using stochastic geometry. In addition to the canonical downlink and uplink settings, analyses of heterogeneous cellular networks and dense cellular networks are also included. For each of these settings, the focus is on the calculation of coverage probability, which gives the complementary cumulative distribution function (ccdf) of signal-to-interference-and-noise ratio (SINR) and is the complement of the outage probability. Using this, other key performance metrics, such as the area spectral efficiency, are also derived. These metrics are especially useful in understanding the effect of densification on network performance. In order to make this a truly self-contained reference, all the required background material from stochastic geometry is introduced in a coherent and digestible manner..This Book:.Provides an approachable introduction to the analysis of cellular networks and illuminates key system dependencies.Features an approach based on stochastic geometry as applied to cellular networks including both downlink and uplink.Fo
Pindex Textbook 2023
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沙發(fā)
發(fā)表于 2025-3-21 21:43:22 | 只看該作者
https://doi.org/10.1007/978-3-540-75918-8fundamental results in stochastic geometry as applied to wireless communication. In JGA’s course, which includes many other topics and is just meant to provide an introduction to stochastic geometry, it is often not feasible to go much further than the results in this chapter. There have been some r
板凳
發(fā)表于 2025-3-22 00:50:54 | 只看該作者
https://doi.org/10.1007/978-3-540-75918-8icult than the downlink due to the coupling between the handset point process and the BS point process when it is assumed (realistically) that only a single handset can be active per cell (in a given time/frequency resource). Using some recent results, this chapter carefully models this coupling and
地板
發(fā)表于 2025-3-22 05:06:30 | 只看該作者
Peter Balzer,Stefan Kr?ll,Bernd Schollresent in the network. Deploying small cells overlaid on an existing wide area macrocell network is a key direction in ongoing and future cellular network deployments, so this is an important but nontrivial generalization, and one that has gained considerable popularity for the stochastic geometric
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發(fā)表于 2025-3-22 12:13:07 | 只看該作者
Peter Balzer,Stefan Kr?ll,Bernd Scholles”, and the precise answer of “how much” hinges on the path loss model in particular, as well as several other network parameters. In particular, the path loss model should change for short range communications, and the improved propagation paradoxically . the network throughput once a certain dens
6#
發(fā)表于 2025-3-22 14:12:05 | 只看該作者
Peter Balzer,Stefan Kr?ll,Bernd Schollof extensions is unlimited. The authors would like to acknowledge that there are many important related works by their colleagues that they have learned a great deal from but are not included in this book. Given that only a handful of people were interested in this topic when JGA started working on
7#
發(fā)表于 2025-3-22 17:11:22 | 只看該作者
Key Background on Stochastic Geometry,initions and Theorems. The authors also recommend full length texts focusing on stochastic geometry for wireless networks, such as [6], [7], [8], for a more comprehensive and deeper treatment, including [9] which is focused on cellular networks specifically.
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