A novel 3D ray launching technique for radio propagation prediction in indoor environments

Radio propagation prediction simulation methods based on deterministic technique such as ray launching is extensively used to accomplish radio channel characterization. However, the superiority of the simulation depends on the number of rays launched and received. This paper presented the indoor thr...

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Bibliographic Details
Published in:PloS one 2018-08, Vol.13 (8), p.e0201905-e0201905
Main Authors: Geok, Tan Kim, Hossain, Ferdous, Chiat, Alan Tan Wee
Format: Article
Language:English
Subjects:
Accuracy
Algorithms
Communications systems
Computer and Information Sciences
Computer simulation
Design optimization
Engineering
Indoor environments
International conferences
Multimedia
Neural networks
Optimization
Physical Sciences
Propagation
Radio communications
Radio wave propagation
Radio waves
Ray tracing
Research and Analysis Methods
Simulation
Systems design
Three dimensional models
Wave propagation
Wireless communications
Wireless communications equipment
Wireless networks
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Summary:Radio propagation prediction simulation methods based on deterministic technique such as ray launching is extensively used to accomplish radio channel characterization. However, the superiority of the simulation depends on the number of rays launched and received. This paper presented the indoor three-dimensional (3D) Minimum Ray Launching Maximum Accuracy (MRLMA) technique, which is applicable for an efficient indoor radio wave propagation prediction. Utilizing the novel MRLMA technique in the simulation environment for ray lunching and tracing can drastically reduce the number of rays that need to be traced, and improve the efficiency of ray tracing. Implementation and justification of MRLMA presented in the paper. An indoor office 3D layouts are selected and simulations have been performed using the MRLMA and other reference techniques. Results showed that the indoor 3D MRLMA model is appropriate for wireless communications network systems design and optimization process with respect to efficiency, coverage, number of rays launching, number of rays received by the mobile station, and simulation time.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0201905