Radio Propagation Prediction Method Using Point Cloud Data Based on Hybrid of Ray-Tracing and Effective Roughness Model in Urban Environments

Minoru INOMATA  Tetsuro IMAI  Koshiro KITAO  Yukihiko OKUMURA  Motoharu SASAKI  Yasushi TAKATORI  

Publication
IEICE TRANSACTIONS on Communications   Vol.E102-B   No.1   pp.51-62
Publication Date: 2019/01/01
Online ISSN: 1745-1345
DOI: 10.1587/transcom.2017EBP3436
Type of Manuscript: PAPER
Category: Antennas and Propagation
Keyword: 
5G mobile communication system,  high frequency bands,  radio propagation prediction method,  point cloud data,  

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Summary: 
This paper proposes a radio propagation prediction method that uses point cloud data based on a hybrid of the ray-tracing (RT) method and an effective roughness (ER) model in urban environments for the fifth generation mobile communications system using high frequency bands. The proposed prediction method incorporates propagation characteristics that consider diffuse scattering from surface irregularities. The validity of the proposed method is confirmed by comparisons of measurement and prediction results gained from the proposed method and a conventional RT method based on power delay and angular profiles. From predictions based on the power delay and angular profiles, we find that the proposed method, assuming the roughness of σh=1mm, accurately predicts the propagation characteristics in the 20GHz band for urban line-of-sight environments. The prediction error for the delay spread is 2.1ns to 9.7ns in an urban environment.