Citation

Kamaruddin, Mohd Nazeri (2021) Adaptive Ray Launching Technique For Indoor Radio Signal Prediction. PhD thesis, Multimedia University.

Full text not available from this repository.

Abstract

Indoor radio wave propagation model has been developed since the last five decades using various approach to predict the propagation path and signal strength at certain location of the simulated environment. Extensive studies have been conducted to investigate the characteristic of radio propagation, surrounding environment and the elements that affect the radio signal. Several propagation models have been developed with various efficiency and accuracy and the suitability for different environments and scenarios. Most of recent studies are still concentrated on modelling the indoor propagation for specific condition and environment such as ray tracing approach. It has become the main option because of its ability to design the simulated environment with detail and precise element of the surrounding objects. However, the implementation of this deterministic model requires too much computational time to simulate the propagation of the radio signal especially when launching the ray with high resolution to all direction. The concern on this drawback requires the effort to find an optimised way to use the computer resources efficiently but achieve the high accuracy simulation result. In this study, the implementation of adaptive ray launching angle step size (ARLSS) technique in the ray tracing approach had been developed and investigated to optimize the launching of rays in the coverage zone. The proposed ARLSS technique is introduced to have a flexible value of ray launching angle. For the region with a high or significant power level, the resolution of the ray launching is higher by having a smaller step size. In the other hand, for the area with a weak signal strength, the resolution of the ray is reduced by adjusting the launching angle with a larger step size. The main advantage of this method is to reduce the number of ray launching on the region of weak signals and concentrate on the high probability of strong and significant rays. The performance of the proposed method is evaluated with simulation of various layouts and scenarios. The renowned shooting and bouncing ray tracing (SBRT) method has been chosen to be the reference approach for comparison. The performance evaluation is based on the number of received rays in the coverage area, the total number of launching rays and the simulation time.

Item Type:	Thesis (PhD)
Additional Information:	Call No: T385 .M64 2021
Uncontrolled Keywords:	Ray tracing algorithms
Subjects:	T Technology > T Technology (General)
Divisions:	Faculty of Engineering and Technology (FET)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	19 May 2023 07:50
Last Modified:	19 May 2023 07:50
URII:	http://shdl.mmu.edu.my/id/eprint/11410

Downloads

Edit (login required)