An efficient indoor ray-tracing propagation model with a quasi-3D approach

Grubisic, S.; Carpes, W.P.

doi:10.1590/s2179-10742014000200005

Cited by 4 publications

(2 citation statements)

References 12 publications

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“…The RTQ3D-indoor [8] model uses 2D ray-tracing algorithm based on the Theory of Images to build a "tree of images" and to find the different reflected rays for a given scenario. The input scenario database is described in the horizontal plane, but adding the ceiling height from the floor and the transmitting (base stations) and receiving (user terminals) antennas heights [9].…”

Section: B An Rtq3d-indoormentioning

confidence: 99%

See 1 more Smart Citation

Use of an Artificial Neural Network-based Metamodel to Reduce the Computational Cost in a Ray-tracing Prediction Model

Travessa

Carpes

2016

J. Microw. Optoelectron. Electromagn. Appl.

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Section: B An Rtq3d-indoormentioning

confidence: 99%

“…1. Passage of a 2D path to five quasi-3D paths using the RTQ3D-indoor algorithm [8]: a) horizontal plane; b) vertical plane [9].…”

Section: B An Rtq3d-indoormentioning

confidence: 99%

Use of an Artificial Neural Network-based Metamodel to Reduce the Computational Cost in a Ray-tracing Prediction Model

Travessa

Carpes

2016

J. Microw. Optoelectron. Electromagn. Appl.

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Squint-less arc array for near-field focusing in wideband systems

Kim

Cho

et al. 2021

Journal of Electromagnetic Waves and Applications

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Factory Radio Design of a 5G Network in Offline Mode

et al. 2021

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The manufacturing industry is connecting people and equipment with new digital technologies, enabling a more continuous stream of data to represent processes. With more things connected, the interest in a connectivity solution that can support communication with high reliability and availability will increase. The fifth generation of telecommunication, i.e., 5G has promising features to deliver this, but the factory environment introduces new challenges to ensure reliable radio coverage. This will require efficient ways to plan the Factory Radio Design prior to installation. 3D laser scanning is used at an ever-increasing rate for capturing the spatial geometry in a virtual representation to perform layout planning of factories. This paper presents how to combine 3D laser scanning and physical optics (PO) for planning the Factory Radio Design of a cellular Long-Term Evolution (LTE) network (5G) in a virtual environment. 3D laser scanning is applied to obtain the spatial data of the factory and the virtual representation serves as the environment where PO computation techniques can be performed. The simulation result is validated in this paper by comparison to measurements of the installed network and empirical propagation models. The results of the study show promising opportunities to simulate the radio coverage in a virtual representation of a factory environment.INDEX TERMS 3D laser scanning, 5G, factory radio design, Industry 4.0, long-term evolution (LTE), physical optics (PO), smart manufacturing (SM).

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An efficient indoor ray-tracing propagation model with a quasi-3D approach

Cited by 4 publications

References 12 publications

Use of an Artificial Neural Network-based Metamodel to Reduce the Computational Cost in a Ray-tracing Prediction Model

Use of an Artificial Neural Network-based Metamodel to Reduce the Computational Cost in a Ray-tracing Prediction Model

Squint-less arc array for near-field focusing in wideband systems

Factory Radio Design of a 5G Network in Offline Mode

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