An ANN‐based channel modeling in 5G millimeter wave for a high‐voltage substation

Abstract In this work, an artificial neural network (ANN) based time‐varying channel modeling framework is proposed, including a playback model and a prediction model. The purpose of the ANN‐based modeling framework is to playback 5G measured radio channels at certain measurement positions, and furt...

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Autores principales:	Zihao Fu, Yu Zhang, Xiongwen Zhao, Fei Du, Suiyan Geng, Peng Qin, Zhenyu Zhou, Lei Zhang, Suhong Chen
Formato:	article
Lenguaje:	EN
Publicado:	Wiley 2021
Materias:	Telecommunication TK5101-6720
Acceso en línea:	https://doaj.org/article/02a59bda608f476dbea9cb8ce9e948a9
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spelling	oai:doaj.org-article:02a59bda608f476dbea9cb8ce9e948a92021-11-09T04:19:38ZAn ANN‐based channel modeling in 5G millimeter wave for a high‐voltage substation1751-86361751-862810.1049/cmu2.12281https://doaj.org/article/02a59bda608f476dbea9cb8ce9e948a92021-12-01T00:00:00Zhttps://doi.org/10.1049/cmu2.12281https://doaj.org/toc/1751-8628https://doaj.org/toc/1751-8636Abstract In this work, an artificial neural network (ANN) based time‐varying channel modeling framework is proposed, including a playback model and a prediction model. The purpose of the ANN‐based modeling framework is to playback 5G measured radio channels at certain measurement positions, and further predict large scale channel parameters (LSCPs) at unmeasured positions with limited amount of measurement data. 28 GHz channel measurements were also conducted at a high‐voltage substation for the first time worldwide to meet with 5G radio system deployment for China Energy Internet. Meanwhile, the performance of the playback channels is evaluated by comparison with the measurements and traditional geometry based stochastic modeling (GBSM) simulated channels. An optimized radial basis function (ORBF) ANN is applied in the prediction model, and the predicted LSCPs are compared with the other approaches, which shows that the ORBF has the best performance. This work offers a solution to predict radio channels and parameters in case of big measured or simulated channel datasets.Zihao FuYu ZhangXiongwen ZhaoFei DuSuiyan GengPeng QinZhenyu ZhouLei ZhangSuhong ChenWileyarticleTelecommunicationTK5101-6720ENIET Communications, Vol 15, Iss 19, Pp 2425-2438 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Telecommunication TK5101-6720
spellingShingle	Telecommunication TK5101-6720 Zihao Fu Yu Zhang Xiongwen Zhao Fei Du Suiyan Geng Peng Qin Zhenyu Zhou Lei Zhang Suhong Chen An ANN‐based channel modeling in 5G millimeter wave for a high‐voltage substation
description	Abstract In this work, an artificial neural network (ANN) based time‐varying channel modeling framework is proposed, including a playback model and a prediction model. The purpose of the ANN‐based modeling framework is to playback 5G measured radio channels at certain measurement positions, and further predict large scale channel parameters (LSCPs) at unmeasured positions with limited amount of measurement data. 28 GHz channel measurements were also conducted at a high‐voltage substation for the first time worldwide to meet with 5G radio system deployment for China Energy Internet. Meanwhile, the performance of the playback channels is evaluated by comparison with the measurements and traditional geometry based stochastic modeling (GBSM) simulated channels. An optimized radial basis function (ORBF) ANN is applied in the prediction model, and the predicted LSCPs are compared with the other approaches, which shows that the ORBF has the best performance. This work offers a solution to predict radio channels and parameters in case of big measured or simulated channel datasets.
format	article
author	Zihao Fu Yu Zhang Xiongwen Zhao Fei Du Suiyan Geng Peng Qin Zhenyu Zhou Lei Zhang Suhong Chen
author_facet	Zihao Fu Yu Zhang Xiongwen Zhao Fei Du Suiyan Geng Peng Qin Zhenyu Zhou Lei Zhang Suhong Chen
author_sort	Zihao Fu
title	An ANN‐based channel modeling in 5G millimeter wave for a high‐voltage substation
title_short	An ANN‐based channel modeling in 5G millimeter wave for a high‐voltage substation
title_full	An ANN‐based channel modeling in 5G millimeter wave for a high‐voltage substation
title_fullStr	An ANN‐based channel modeling in 5G millimeter wave for a high‐voltage substation
title_full_unstemmed	An ANN‐based channel modeling in 5G millimeter wave for a high‐voltage substation
title_sort	ann‐based channel modeling in 5g millimeter wave for a high‐voltage substation
publisher	Wiley
publishDate	2021
url	https://doaj.org/article/02a59bda608f476dbea9cb8ce9e948a9
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An ANN‐based channel modeling in 5G millimeter wave for a high‐voltage substation

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