Efficient radio propagation prediction algorithm including rough surface scattering with improved time complexity

ASMZ Kausar, AW Reza, KA Noordin, MJ Islam… - Progress In …, 2013 - jpier.org
Progress In Electromagnetics Research B, 2013jpier.org
Precise modeling of radio propagation is necessary for experiencing the benefits of wireless
technology for indoor environments. Among many modeling techniques, the ray tracing
based prediction models become popular for indoor wireless radio propagation
characterization. Though the ray tracing models are popular, their key deficiency is the
slower performance. In this paper, an accelerated technique for three dimensional ray
tracing using Adelson-Velski and Landis (AVL) tree data structure is introduced. Here, the …
Abstract
Precise modeling of radio propagation is necessary for experiencing the benefits of wireless technology for indoor environments. Among many modeling techniques, the ray tracing based prediction models become popular for indoor wireless radio propagation characterization. Though the ray tracing models are popular, their key deficiency is the slower performance. In this paper, an accelerated technique for three dimensional ray tracing using Adelson-Velski and Landis (AVL) tree data structure is introduced. Here, the AVL tree data structure is coupled with the concepts of quadrant eliminating technique (QET) and nearest neighbor finder (NNF) for optimization and fast characterization of indoor wireless communication. Surface intersection scheme (SIS) is also introduced for optimizing the ray-object intersection time. The AVL tree is used for the effective handling of the objects and environments relative information. The QET technique decreases the ray tracing time by omitting unnecessary object, while NNF decreases the ray-object intersection time by finding the nearest object in an efficient technique. For the validation of the superiority of the proposed technique, a detailed comparison is made with the existing techniques. The comparison shows that the proposed technique has 81.69% lower time consumption than the existing techniques.
jpier.org
以上显示的是最相近的搜索结果。 查看全部搜索结果