Analytical Modeling of Heterogeneous Cellular Networks: Geometry, Coverage, and Capacity

^ Analytical Modeling of Heterogeneous Cellular Networks: Geometry, Coverage, and Capacity ✓ PDF Read by # Sayandev Mukherjee eBook or Kindle ePUB Online free. Analytical Modeling of Heterogeneous Cellular Networks: Geometry, Coverage, and Capacity Timely and detailed overview of a lively research subject Bartek Blaszczyszyn Only a few years ago the research community shifted their attention to analyzing cellular networks with techniques from stochastic geometry, often with the Poisson point process representing the geometry or positioning of the network base stations. A fundamental metric of interest is the so-called signal-to-interference-and-noise ration (SINR) experienced by a typical user, which then leads to ways of quantifying co

Analytical Modeling of Heterogeneous Cellular Networks: Geometry, Coverage, and Capacity

Author :
Rating : 4.69 (732 Votes)
Asin : 110767655X
Format Type : paperback
Number of Pages : 186 Pages
Publish Date : 2016-06-30
Language : English

DESCRIPTION:

Dr Mukherjee received his PhD from Cornell University, Ithaca, NY in 1997. . He has worked at Bell Laboratories, Marvell Semiconductor Inc. Sayandev Mukherjee is presently a Senior Research Engineer at DOCOMO Innovations Inc., in Palo Alto, CA. He has been a Senior Member of the IEEE since 2005. Dr Mukherjee has over seventy publications in journals and conferences, and has been awarded thirteen patents. He won the Wiley Best Paper Awa

The unified treatment of analytic results and approaches, collected for the first time in a single volume, includes the mathematical tools and techniques used to derive them. A valuable reference for industry practitioners looking to improve the speed and efficiency of their network design and optimization workflow, and for graduate students and researchers seeking tractable analytical results for performance metrics in wireless HCNs.. A single canonical problem formulation encompassing the analytic derivation of Signal to Inte

. About the Author Sayandev Mukherjee is presently a Senior Research Engineer at DOCOMO Innovations Inc., in Palo Alto, CA. He has been a Senior Member of the IEEE since 2005. Dr Mukherjee has over seventy publications in journals and conferences, and has been awarded thirteen patents. Dr Mukherjee received his PhD from Cornell University, Ithaca, NY in 1997. He has worked at Bell Laboratories, Marvell Semiconductor Inc. and SpiderCloud Wireless Inc. He won the Wiley Best Paper Award at the International Workshop on Wireless Ad-hoc Networks (IWWAN) 2005 in London, UK

Timely and detailed overview of a lively research subject Bartek Blaszczyszyn Only a few years ago the research community shifted their attention to analyzing cellular networks with techniques from stochastic geometry, often with the Poisson point process representing the "geometry" or positioning of the network base stations. A fundamental metric of interest is the so-called signal-to-interference-and-noise ration (SINR) experienced by a typical user, which then leads to ways of quantifying "coverage. "Thorough and comprehensive book on next-generation cellular networks" according to Globi-US. This book provides a great overview of the results available for heterogeneous (or multi-tier) cellular systems, where the locations of the base stations of the different tiers are modeled as independent Poisson point processes. The results are presented in a nice analytical framework, with the joint distribution of the signal-to-interference-and-noise ratios (SINRs) as the main metric, and stochastic geometry as the main ma. Excellent treatment of complex subject Jeffrey Andrews As someone very familiar with this line of research, I am delighted to see this book available. I have already found it quite useful for reviewing the key results on SINR for HetNets. It is well written and authoritative, written by one of the key innovators on this topic. Recommended for those wanting to get a rigorous grasp on this important paradigm shift for cellular networks.

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