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Radio wave propagation modelling using finite element method: Novel approaches to model radio wave propagation and solve complex models efficiently using finite element analysis

Radio wave propagation modelling using finite element method: Novel approaches to model radio wave propagation and solve complex models efficiently using finite element analysis

Arshad, Kamran (2010) Radio wave propagation modelling using finite element method: Novel approaches to model radio wave propagation and solve complex models efficiently using finite element analysis. LAP Lambert Academic Publishing. ISBN 9783843358019

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Abstract

Fourth generation (4G) wireless communication systems are intended to support high data rates, which require careful and accurate modelling of the radio environment. In this book, finite element based accurate and computationally efficient models of wave propagation in different outdoor and indoor environments have been developed. Coverage diagrams, path loss contours and power levels were also calculated. The results obtained were compared with commercially available software Advanced Refractive Effects Prediction Software (AREPS) to validate the accuracy of the developed models. The models were very flexible in handling complex geometries and similar analysis can be easily extended to other environments. A fully vectored finite element base propagation model was developed for straight and curved tunnels. An optimum range of values of different electrical parameters for tunnels of different shapes has been derived. The results of this book will have a great impact in modelling and characterisation of future wireless communication systems.

Item Type: Book
Uncontrolled Keywords: radio wave propagation, modelling, finite element analysis
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty / Department / Research Group: Faculty of Engineering & Science
Related URLs:
Last Modified: 14 Oct 2016 09:31
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/13031

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