Stochastic Geometry Analysis of Multi-Antenna Wireless Networks

Download Stochastic Geometry Analysis of Multi-Antenna Wireless Networks PDF Online Free

Author :
Release : 2019-03-27
Genre : Computers
Kind :
Book Rating : 80X/5 ( reviews)

Stochastic Geometry Analysis of Multi-Antenna Wireless Networks - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Stochastic Geometry Analysis of Multi-Antenna Wireless Networks write by Xianghao Yu. This book was released on 2019-03-27. Stochastic Geometry Analysis of Multi-Antenna Wireless Networks available in PDF, EPUB and Kindle. 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.

Capacity of Multi-antenna Ad Hoc Networks Via Stochastic Geometry

Download Capacity of Multi-antenna Ad Hoc Networks Via Stochastic Geometry PDF Online Free

Author :
Release : 2012
Genre :
Kind :
Book Rating : /5 ( reviews)

Capacity of Multi-antenna Ad Hoc Networks Via Stochastic Geometry - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Capacity of Multi-antenna Ad Hoc Networks Via Stochastic Geometry write by Andrew Marcus Hunter. This book was released on 2012. Capacity of Multi-antenna Ad Hoc Networks Via Stochastic Geometry available in PDF, EPUB and Kindle. This thesis takes as its objective quantifying, comparing, and optimizing multiple-antenna (MIMO) physical layer techniques in dense ad hoc wireless networks. A framework is developed from the spatial shot noise interference model for packet radio network analysis. The framework captures the behavior of a wide variety of signal and interference distributions, which permit inspection of a number of signal processing methods including representatives from most of the major MIMO techniques. Multi-antenna systems for point-to-point are becoming mature and being developed and deployed in many wireless communication systems due to their potential to combat fading, increase spectral efficiency, and overcome interference. The framework permits an algorithm or system designer to view the network from the perspective of a typical user, to optimize performance in the midst of a given environment, or to view the network as a whole, to determine behavior that maximizes network performance. In particular, it enables questions to be answered quantitatively, such as which MIMO techniques perform best in a given environment? Or what rate and power settings should be used across the available spatial modes? Or what is the maximum benefit of channel state information? Or what gain should an individual device, or the network as a whole expect to see given a particular physical layer strategy? The dissertation begins by developing the framework for a generic set of assumptions on network behavior and signal and interference distributions. It then presents a progression of applications to representative MIMO techniques. Broad and intuitive scaling laws are developed as well as detailed exact results for careful comparison. Capacity scaling with the number of antennas is given for systems employing beamforming, selection combining, space-time block coding, and spatial multiplexing. These applications are used as the basis for developing simple distributed algorithms for optimizing MIMO settings with QoS constraints and in heterogeneous networks. Lastly, the framework is expanded to permit comparison and optimization of MIMO performance under alternative medium access strategies. In general it is found that significant performance gains can be reaped with multi-antenna physical layers, provided the proper techniques are employed. It is also shown that the availability of multiple spatial channels impacts the inherent tradeoff between per-link throughput and spatial reuse.

Stochastic Geometry Analysis of Cellular Networks

Download Stochastic Geometry Analysis of Cellular Networks PDF Online Free

Author :
Release : 2018-04-19
Genre : Technology & Engineering
Kind :
Book Rating : 857/5 ( reviews)

Stochastic Geometry Analysis of Cellular Networks - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Stochastic Geometry Analysis of Cellular Networks write by Bartłomiej Błaszczyszyn. This book was released on 2018-04-19. Stochastic Geometry Analysis of Cellular Networks available in PDF, EPUB and Kindle. Achieve faster and more efficient network design and optimization with this comprehensive guide. Some of the most prominent researchers in the field explain the very latest analytic techniques and results from stochastic geometry for modelling the signal-to-interference-plus-noise ratio (SINR) distribution in heterogeneous cellular networks. This book will help readers to understand the effects of combining different system deployment parameters on key performance indicators such as coverage and capacity, enabling the efficient allocation of simulation resources. In addition to covering results for network models based on the Poisson point process, this book presents recent results for when non-Poisson base station configurations appear Poisson, due to random propagation effects such as fading and shadowing, as well as non-Poisson models for base station configurations, with a focus on determinantal point processes and tractable approximation methods. Theoretical results are illustrated with practical Long-Term Evolution (LTE) applications and compared with real-world deployment results.

Stochastic Geometry and Wireless Networks

Download Stochastic Geometry and Wireless Networks PDF Online Free

Author :
Release : 2009
Genre : Computers
Kind :
Book Rating : 64X/5 ( reviews)

Stochastic Geometry and Wireless Networks - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Stochastic Geometry and Wireless Networks write by François Baccelli. This book was released on 2009. Stochastic Geometry and Wireless Networks available in PDF, EPUB and Kindle. This volume bears on wireless network modeling and performance analysis. The aim is to show how stochastic geometry can be used in a more or less systematic way to analyze the phenomena that arise in this context. It first focuses on medium access control mechanisms used in ad hoc networks and in cellular networks. It then discusses the use of stochastic geometry for the quantitative analysis of routing algorithms in mobile ad hoc networks. The appendix also contains a concise summary of wireless communication principles and of the network architectures considered in the two volumes.

Stochastic Geometry for Wireless Networks

Download Stochastic Geometry for Wireless Networks PDF Online Free

Author :
Release : 2013
Genre : Computers
Kind :
Book Rating : 697/5 ( reviews)

Stochastic Geometry for Wireless Networks - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Stochastic Geometry for Wireless Networks write by Martin Haenggi. This book was released on 2013. Stochastic Geometry for Wireless Networks available in PDF, EPUB and Kindle. Analyse wireless network performance and improve design choices for future architectures and protocols with this rigorous introduction to stochastic geometry.