Login (DCU Staff Only)
Login (DCU Staff Only)

DORAS | DCU Research Repository

Explore open access research and scholarly works from DCU

Advanced Search

Efficient ray-tracing algorithms for radio wave propagation in urban environments

Hussain, Sajjad (2017) Efficient ray-tracing algorithms for radio wave propagation in urban environments. PhD thesis, Dublin City University.

Abstract
Recent times have seen a significant increase in capacity demands resulting in small cells deployment. The application of standard radio channel models is not straightforward in such environments. The radio wave propagation becomes site-specific as it is greatly affected by the objects present in the environment. A ray-tracing model computes the dominant paths through which radio waves propagate considering the geometry of the environment. The aim of this work is to develop efficient ray-tracing acceleration techniques for radio wave propagation in urban environments. A radio wave that interacts with a wall or an edge of a building undergoes reflection or diffraction respectively. The horizontal area where the reflected or diffracted rays can possibly propagate represents the lit region of the illuminated wall or edge.The buildings present in the lit region block the rays to form shadow regions. A valid ray exists at a given receiver location only if it is located inside the lit region and outside of all the shadow regions of an illuminated wall or edge. The lit and shadow polygons are represented by four sides so that a geometrical test requires four computations to validate if a receiver is located inside or outside of a polygon. A recursive algorithm has been developed to validate the rays at all receiver locations. A mobile receiver enters and leaves the lit regions and the associated shadow regions as it moves along a linear route. The entry and exit points of the receiver through the lit polygons and the associated shadow polygons are pre-computed to produce a database of relative location of polygons intersection along the route. A novel method has been developed that makes use of this database to accelerate the ray computations. The geometrical test to validate a ray segment is replaced by a simple check that compares the receiver location with the polygons intersections along the route. The database of visible walls and edges, known as visibility list, is always required for ray tracing computations. The visibility checks must therefore be performed independently each time the transmitter location is changed. This increases the pre-processing time for the ray tracing model and limits its application for mobile transmitter scenarios. A database that pre-computes the list of visible walls and edges to each wall and edge in the environment, or so-called the intra-visibility matrix is proposed. A novel algorithm is developed that determines the visibility list for a mobile transmitter moving along a linear trajectory using the intra-visibility matrix. This work presents ray tracing acceleration techniques for both a mobile receiver and transmitter. The algorithm for mobile receiver has been validated by comparing the path loss against measured data available from COST 231 project. The ray tracing acceleration algorithm for mobile transmitter can reduce the pre-processing time by up to 90% and accurately predicts the ray paths as validated against the COST 231 measured data using the reciprocity principle.
Metadata
Item Type:Thesis (PhD)
Date of Award:November 2017
Refereed:No
Supervisor(s):Brennan, Conor
Uncontrolled Keywords:ray tracing; wireless communications; electromagnetic wave propagation; asymptotic methods; visibility
Subjects:Engineering > Telecommunication
Mathematics > Mathematical physics
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Electronic Engineering
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 3.0 License. View License
Funders:Irish Research Council
ID Code:21976
Deposited On:13 Nov 2017 09:23 by Conor Brennan . Last Modified 19 Jul 2018 15:11
Documents

Full text available as:

[thumbnail of thesis.pdf]
Preview
PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
5MB
Downloads

Downloads

Downloads per month over past year

Archive Staff Only: edit this record