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
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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
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score 13.222552