Modelling of radio wave propagation using Finite Element Analysis.

Arshad, Kamran (2007) Modelling of radio wave propagation using Finite Element Analysis. PhD thesis, Middlesex University.

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Abstract

Fourth generation (4G) wireless communication systems are intended to support high data rates which requires careful and accurate modelling of the radio environment. In this thesis, for the first time finite clement based accurate and computationally efficient models of wave propagation in different outdoor and indoor environments has been developed. Three different environments were considered: the troposphere, vegetation and tunnels and wave propagation in these environments were modelled using finite element analysis. Use of finite elements in wave propagation modelling is a novel idea although many propagation models and approaches were used in past.
Coverage diagrams, path loss contours and power levels were calculated using developed models in the troposphere, vegetation and tunnels. Results obtained were compared with commercially available software Advanced Refractive Effects Prediction Software (AREPS) to validate the accuracy of the developed approach and it is shown that results were accurate with an accuracy of 3dB. The developed 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 thesis delivered a novel approach to modelling radio channels that provided a fast and accurate solution of radio wave propagation in realistic environments. The results of this thesis will have a great impact in modelling and characterisation of future wireless communication systems.

Item Type: Thesis (PhD)
Additional Information: A thesis submitted to Middlesex University in partial fulfilment of the requirements for the degree of Doctor of Philosophy.
Research Areas: A. > School of Science and Technology > Computer Science
B. > Theses
Item ID: 9768
Depositing User: Adam Miller
Date Deposited: 24 Apr 2013 12:39
Last Modified: 02 Apr 2019 14:42
URI: https://eprints.mdx.ac.uk/id/eprint/9768

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