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Statistical modelling and characterization of experimental mm-wave indoor channels for future 5g wireless communication networks

This paper presents an experimental characterization of millimeter-wave (mm-wave) channels in the 6.5 GHz, 10.5 GHz, 15 GHz, 19 GHz, 28 GHz and 38 GHz frequency bands in an indoor corridor environment. More than 4,000 power delay profiles were measured across the bands using an omnidirectional trans...

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Main Authors:	Al-Samman, A.M., Rahman, T.A., Azmi, M.H., Hindia, M.N., Khan, I., Hanafi, Effariza
Format:	Article
Published:	Public Library of Science 2016
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://eprints.um.edu.my/18263/ https://doi.org/10.1371/journal.pone.0163034
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spelling	my.um.eprints.182632021-01-12T05:40:13Z http://eprints.um.edu.my/18263/ Statistical modelling and characterization of experimental mm-wave indoor channels for future 5g wireless communication networks Al-Samman, A.M. Rahman, T.A. Azmi, M.H. Hindia, M.N. Khan, I. Hanafi, Effariza TK Electrical engineering. Electronics Nuclear engineering This paper presents an experimental characterization of millimeter-wave (mm-wave) channels in the 6.5 GHz, 10.5 GHz, 15 GHz, 19 GHz, 28 GHz and 38 GHz frequency bands in an indoor corridor environment. More than 4,000 power delay profiles were measured across the bands using an omnidirectional transmitter antenna and a highly directional horn receiver antenna for both co- and cross-polarized antenna configurations. This paper develops a new path-loss model to account for the frequency attenuation with distance, which we term the frequency attenuation (FA) path-loss model and introduce a frequency-dependent attenuation factor. The large-scale path loss was characterized based on both new and well-known path-loss models. A general and less complex method is also proposed to estimate the cross-polarization discrimination (XPD) factor of close-in reference distance with the XPD (CIX) and ABG with the XPD (ABGX) path-loss models to avoid the computational complexity of minimum mean square error (MMSE) approach. Moreover, small-scale parameters such as root mean square (RMS) delay spread, mean excess (MN-EX) delay, dispersion factors and maximum excess (MAX-EX) delay parameters were used to characterize the multipath channel dispersion. Multiple statistical distributions for RMS delay spread were also investigated. The results show that our proposed models are simpler and more physically-based than other well-known models. The path-loss exponents for all studied models are smaller than that of the free-space model by values in the range of 0.1 to 1.4 for all measured frequencies. The RMS delay spread values varied between 0.2 ns and 13.8 ns, and the dispersion factor values were less than 1 for all measured frequencies. The exponential and Weibull probability distribution models best fit the RMS delay spread empirical distribution for all of the measured frequencies in all scenarios. Public Library of Science 2016 Article PeerReviewed Al-Samman, A.M. and Rahman, T.A. and Azmi, M.H. and Hindia, M.N. and Khan, I. and Hanafi, Effariza (2016) Statistical modelling and characterization of experimental mm-wave indoor channels for future 5g wireless communication networks. PLoS ONE, 11 (9). e0163034. ISSN 1932-6203 https://doi.org/10.1371/journal.pone.0163034 doi:10.1371/journal.pone.0163034
institution	Universiti Malaya
building	UM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Malaya
content_source	UM Research Repository
url_provider	http://eprints.um.edu.my/
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Al-Samman, A.M. Rahman, T.A. Azmi, M.H. Hindia, M.N. Khan, I. Hanafi, Effariza Statistical modelling and characterization of experimental mm-wave indoor channels for future 5g wireless communication networks
description	This paper presents an experimental characterization of millimeter-wave (mm-wave) channels in the 6.5 GHz, 10.5 GHz, 15 GHz, 19 GHz, 28 GHz and 38 GHz frequency bands in an indoor corridor environment. More than 4,000 power delay profiles were measured across the bands using an omnidirectional transmitter antenna and a highly directional horn receiver antenna for both co- and cross-polarized antenna configurations. This paper develops a new path-loss model to account for the frequency attenuation with distance, which we term the frequency attenuation (FA) path-loss model and introduce a frequency-dependent attenuation factor. The large-scale path loss was characterized based on both new and well-known path-loss models. A general and less complex method is also proposed to estimate the cross-polarization discrimination (XPD) factor of close-in reference distance with the XPD (CIX) and ABG with the XPD (ABGX) path-loss models to avoid the computational complexity of minimum mean square error (MMSE) approach. Moreover, small-scale parameters such as root mean square (RMS) delay spread, mean excess (MN-EX) delay, dispersion factors and maximum excess (MAX-EX) delay parameters were used to characterize the multipath channel dispersion. Multiple statistical distributions for RMS delay spread were also investigated. The results show that our proposed models are simpler and more physically-based than other well-known models. The path-loss exponents for all studied models are smaller than that of the free-space model by values in the range of 0.1 to 1.4 for all measured frequencies. The RMS delay spread values varied between 0.2 ns and 13.8 ns, and the dispersion factor values were less than 1 for all measured frequencies. The exponential and Weibull probability distribution models best fit the RMS delay spread empirical distribution for all of the measured frequencies in all scenarios.
format	Article
author	Al-Samman, A.M. Rahman, T.A. Azmi, M.H. Hindia, M.N. Khan, I. Hanafi, Effariza
author_facet	Al-Samman, A.M. Rahman, T.A. Azmi, M.H. Hindia, M.N. Khan, I. Hanafi, Effariza
author_sort	Al-Samman, A.M.
title	Statistical modelling and characterization of experimental mm-wave indoor channels for future 5g wireless communication networks
title_short	Statistical modelling and characterization of experimental mm-wave indoor channels for future 5g wireless communication networks
title_full	Statistical modelling and characterization of experimental mm-wave indoor channels for future 5g wireless communication networks
title_fullStr	Statistical modelling and characterization of experimental mm-wave indoor channels for future 5g wireless communication networks
title_full_unstemmed	Statistical modelling and characterization of experimental mm-wave indoor channels for future 5g wireless communication networks
title_sort	statistical modelling and characterization of experimental mm-wave indoor channels for future 5g wireless communication networks
publisher	Public Library of Science
publishDate	2016
url	http://eprints.um.edu.my/18263/ https://doi.org/10.1371/journal.pone.0163034
_version_	1690371477642149888
score	13.211869

Statistical modelling and characterization of experimental mm-wave indoor channels for future 5g wireless communication networks

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