TITLE

Investigation of a New 3D Intelligent Ray-Tracing Model

AUTHOR(S)
Reza, Ahmed; Noordin, Kamarul; Islam, Md.; Kausar, A.; Ramiah, Harikrishnan
PUB. DATE
July 2014
SOURCE
Wireless Personal Communications;Jul2014, Vol. 77 Issue 1, p691
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
While characterizing the wireless network, it is critical to predict the exact signal propagation paths in an efficient way for three dimensional (3D) indoor environment. In this paper, a new 3D intelligent ray-tracing (IRT) model based on the modified binary angle division (MBAD) technique is presented. The MBAD algorithm can launch the minimum amount of rays by identifying the invalid regions, which can skip the processing of the unnecessary signals. To further accelerate the MBAD algorithm feasible for the 3D environment, virtual surface technique and efficient polygon test are used. Besides, the amount of time for intersection test is reduced by using the surface skipping technique. Moreover, different radio signal propagation paths, such as reflection, refraction, and diffraction from 3D objects along with infinitesimal rays with very small wavefront are considered. The results obtained from this study show the superiority of the proposed model in terms of higher prediction accuracy (29.21 %) and better computational time (58.78 %) than other well-known techniques. Finally, this work also analytically examines the measured and the simulated results for the proposed IRT model and evaluates the effectiveness. The experimental results are compared with the simulated results obtained from IRT model and good agreement (accuracy of about 97 to $$>$$ 99 %) demonstrated.
ACCESSION #
96537686

 

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