6533b7dbfe1ef96bd12713a7
RESEARCH PRODUCT
Fast 3D Ray Tracing for Indoor Coverage Solutions
Tallal ElshabrawyMohamed AshourAhmed AbdelgawwadHany F. Hammadsubject
business.industry020206 networking & telecommunications020302 automobile design & engineering02 engineering and technologyTracingNetwork planning and designReduction (complexity)0203 mechanical engineeringScalability0202 electrical engineering electronic engineering information engineeringElectronic engineeringWirelessPreprocessorRay tracing (graphics)Preprocessing algorithmbusinessAlgorithmMathematicsdescription
Optimal wireless indoor network planning requires huge number of iterations and evaluations of indoor coverage for each antenna location until an optimal solution is reached. Consequently, accurate and scalable calculation of power strength for indoor scenarios becomes necessary. The contribution in this paper is to reduce the complexity of 3D ray tracing for deterministic indoor power prediction. In order to achieve that while preserving the accuracy, image theory with feasible reflection volume as preprocessing approach is introduced. This proposed algorithm stores the image, its feasible reflection volume and valid area of receiving points. Significant complexity reduction is achieved by calculating the received power using these stored preprocessing data. The preprocessing algorithm is tested for different 3D indoor layouts. Simulation results show the reduction of the complexity of the proposed algorithm compared to image theory based with tracing back algorithm.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2016-09-01 | 2016 IEEE 84th Vehicular Technology Conference (VTC-Fall) |