Analytical Modeling of Heterogeneous Cellular Networks

Geometry, Coverage, and Capacity

Nonfiction, Science & Nature, Technology, Engineering, Computers, General Computing
Cover of the book Analytical Modeling of Heterogeneous Cellular Networks by Sayandev Mukherjee, Cambridge University Press
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Sayandev Mukherjee ISBN: 9781107779747
Publisher: Cambridge University Press Publication: January 23, 2014
Imprint: Cambridge University Press Language: English
Author: Sayandev Mukherjee
ISBN: 9781107779747
Publisher: Cambridge University Press
Publication: January 23, 2014
Imprint: Cambridge University Press
Language: English

This self-contained introduction shows how stochastic geometry techniques can be used for studying the behaviour of heterogeneous cellular networks (HCNs). 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 single canonical problem formulation encompassing the analytic derivation of Signal to Interference plus Noise Ratio (SINR) distribution in the most widely-used deployment scenarios is presented, together with applications to systems based on the 3GPP-LTE standard, and with implications of these analyses on the design of HCNs. An outline of the different releases of the LTE standard and the features relevant to HCNs is also provided. 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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This self-contained introduction shows how stochastic geometry techniques can be used for studying the behaviour of heterogeneous cellular networks (HCNs). 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 single canonical problem formulation encompassing the analytic derivation of Signal to Interference plus Noise Ratio (SINR) distribution in the most widely-used deployment scenarios is presented, together with applications to systems based on the 3GPP-LTE standard, and with implications of these analyses on the design of HCNs. An outline of the different releases of the LTE standard and the features relevant to HCNs is also provided. 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.

More books from Cambridge University Press

Cover of the book Aristotle's Physics Book I by Sayandev Mukherjee
Cover of the book Neurohospitalist Medicine by Sayandev Mukherjee
Cover of the book Shakespeare's Reading Audiences by Sayandev Mukherjee
Cover of the book Nutrition in Critical Care by Sayandev Mukherjee
Cover of the book Running Regressions by Sayandev Mukherjee
Cover of the book Bond Pricing and Yield Curve Modeling by Sayandev Mukherjee
Cover of the book Primate Tourism by Sayandev Mukherjee
Cover of the book Statistics Explained by Sayandev Mukherjee
Cover of the book The Golem by Sayandev Mukherjee
Cover of the book Changing Course in Latin America by Sayandev Mukherjee
Cover of the book Neuroscience and Multilingualism by Sayandev Mukherjee
Cover of the book Horace: Odes IV and Carmen Saeculare by Sayandev Mukherjee
Cover of the book Shaping Immigration News by Sayandev Mukherjee
Cover of the book The Old Regime and the Haitian Revolution by Sayandev Mukherjee
Cover of the book Groups St Andrews 2017 in Birmingham by Sayandev Mukherjee
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy