3D Indoor Radio Coverage for 5G Planning: a Framework of Combining BIM with Ray-tracing

Louro, João; Fernandes, Telmo Rui; Rodrigues, Hugo; Caldeirinha, Rafael F. S.

http://hdl.handle.net/10400.8/14072

Use this identifier to reference this record.

Name:	Description:	Size:	Format:
3D Indoor Radio Coverage for 5G Planning A Framework of Combining BIM with Ray-tracing.pdf	This paper presents a framework to predict indoor radio wave coverage in buildings. Such method includes the capability to import BIM (Building Information Modelling) files that contain structured physical geometry and dimension data, including the material types that are of uttermost importance in evaluating their dielectric properties. Appropriated extraction of physical and dielectric attributes of the building elements was used as input to a 3D radio wave propagation ray-tracing developed in MatLab that allows the prediction of the received radio signal level at any location within the computational volume. Results are presented for line-of-sight contributions and first and second order reflections. Despite the generic nature of the proposed framework, prediction results are presented at 3.6 GHz, envisaging emerging 5G indoor radio coverage.	1.03 MB	Adobe PDF	Download

Send Feedback

Authors

Louro, João

Fernandes, Telmo Rui

Rodrigues, Hugo

Caldeirinha, Rafael F. S.

Abstract(s)

This paper presents a framework to predict indoor radio wave coverage in buildings. Such method includes the capability to import BIM (Building Information Modelling) files that contain structured physical geometry and dimension data, including the material types that are of uttermost importance in evaluating their dielectric properties. Appropriated extraction of physical and dielectric attributes of the building elements was used as input to a 3D radio wave propagation ray-tracing developed in MatLab that allows the prediction of the received radio signal level at any location within the computational volume. Results are presented for line-of-sight contributions and first and second order reflections. Despite the generic nature of the proposed framework, prediction results are presented at 3.6 GHz, envisaging emerging 5G indoor radio coverage.

Description

Article number - 9249503; Conference date - 20 July 2020 - 22 July 2020; Conference code - 164941
EISBN - 978-1-7281-6743-5

Keywords

radiowave 5G indoor coverage ray-tracing BIM

URI

http://hdl.handle.net/10400.8/14072

Citation

J. S. Louro, T. Rui Fernandes, H. Rodrigues and R. F. S. Caldeirinha, "3D Indoor Radio Coverage for 5G Planning: a Framework of Combining BIM with Ray-tracing," 2020 12th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP), Porto, Portugal, 2020, pp. 1-5, doi: https://doi.org/10.1109/CSNDSP49049.2020.9249503.