The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
본 논문에서는 고주파 대역을 사용하는 5세대 이동통신 시스템을 위해 RT(Ray Tracing) 방법과 ER(Effective Roughness) 모델을 혼합한 도시 환경에서의 포인트 클라우드 데이터를 활용한 전파 전파 예측 방법을 제안한다. 제안된 예측 방법은 표면 불규칙성으로 인한 확산 산란을 고려한 전파 특성을 통합합니다. 제안한 방법의 타당성은 제안한 방법과 전력 지연 및 각도 프로파일을 기반으로 한 기존 RT 방법의 측정 및 예측 결과를 비교하여 확인합니다. 전력 지연과 각도 프로파일을 기반으로 한 예측을 통해 제안된 방법은 σh=1mm는 도시 가시선 환경에 대한 20GHz 대역의 전파 특성을 정확하게 예측합니다. 지연 확산에 대한 예측 오차는 도시 환경에서 2.1ns~9.7ns이다.
Minoru INOMATA
NTT DOCOMO, INC.
Tetsuro IMAI
NTT DOCOMO, INC.
Koshiro KITAO
NTT DOCOMO, INC.
Yukihiko OKUMURA
NTT DOCOMO, INC.
Motoharu SASAKI
NTT Access Network Service Systems Laboratories
Yasushi TAKATORI
NTT Access Network Service Systems Laboratories
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Minoru INOMATA, Tetsuro IMAI, Koshiro KITAO, Yukihiko OKUMURA, Motoharu SASAKI, Yasushi TAKATORI, "Radio Propagation Prediction Method Using Point Cloud Data Based on Hybrid of Ray-Tracing and Effective Roughness Model in Urban Environments" in IEICE TRANSACTIONS on Communications,
vol. E102-B, no. 1, pp. 51-62, January 2019, doi: 10.1587/transcom.2017EBP3436.
Abstract: 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.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2017EBP3436/_p
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@ARTICLE{e102-b_1_51,
author={Minoru INOMATA, Tetsuro IMAI, Koshiro KITAO, Yukihiko OKUMURA, Motoharu SASAKI, Yasushi TAKATORI, },
journal={IEICE TRANSACTIONS on Communications},
title={Radio Propagation Prediction Method Using Point Cloud Data Based on Hybrid of Ray-Tracing and Effective Roughness Model in Urban Environments},
year={2019},
volume={E102-B},
number={1},
pages={51-62},
abstract={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.},
keywords={},
doi={10.1587/transcom.2017EBP3436},
ISSN={1745-1345},
month={January},}
부
TY - JOUR
TI - Radio Propagation Prediction Method Using Point Cloud Data Based on Hybrid of Ray-Tracing and Effective Roughness Model in Urban Environments
T2 - IEICE TRANSACTIONS on Communications
SP - 51
EP - 62
AU - Minoru INOMATA
AU - Tetsuro IMAI
AU - Koshiro KITAO
AU - Yukihiko OKUMURA
AU - Motoharu SASAKI
AU - Yasushi TAKATORI
PY - 2019
DO - 10.1587/transcom.2017EBP3436
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E102-B
IS - 1
JA - IEICE TRANSACTIONS on Communications
Y1 - January 2019
AB - 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.
ER -