Comparison of empirical and ray-tracing models for mobile communication systems at 2.6 GHz

Jakob Thrane; Darko Zibar; Henrik Lehrmann Christiansen

doi:10.1109/vtcfall.2019.8891306

Comparison of empirical and ray-tracing models for mobile communication systems at 2.6 GHz

Jakob Thrane, Darko Zibar, Henrik Lehrmann Christiansen

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Abstract

Accurate channel models for predicting received power under slow fading impairments are essential for planning 5G solutions due to the increased range of possible transmission frequencies. The densification of base stations will pose an increased number of complex coverage and capacity situations where flexible and computational simple channel models are essential. In this paper, we study state-of-the-art empirical channel models, more specifically ITU-R M.2412 and 3GPP 38.901, and their performance on experimental measurements at 2630 MHz for LTE-A reference parameters such as RSRP. A crude ray-tracing model is implemented for reference. The results show an increase in the predictive performance of approximately 4 dB at 811 MHz compared to higher frequencies of 2630 MHz.

Original language	English
Title of host publication	Proceedings of 90th IEEE Vehicular Technology Conference
Number of pages	5
Publisher	IEEE
Publication date	2019
Article number	8891306
ISBN (Print)	9781728112206
DOIs	https://doi.org/10.1109/vtcfall.2019.8891306
Publication status	Published - 2019
Event	2019 IEEE 90th Vehicular Technology Conference - Waikiki Beach Marriott Resort & Spa, Honolulu, United States Duration: 22 Sept 2019 → 25 Sept 2019 Conference number: 90 http://www.ieeevtc.org/vtc2019fall/

Conference

Conference	2019 IEEE 90th Vehicular Technology Conference
Number	90
Location	Waikiki Beach Marriott Resort & Spa
Country/Territory	United States
City	Honolulu
Period	22/09/2019 → 25/09/2019
Internet address	http://www.ieeevtc.org/vtc2019fall/

Keywords

Radio propagation
Mobile communication
5G mobile communication
Channel models
Path loss

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10.1109/vtcfall.2019.8891306

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title = "Comparison of empirical and ray-tracing models for mobile communication systems at 2.6 GHz",

abstract = "Accurate channel models for predicting received power under slow fading impairments are essential for planning 5G solutions due to the increased range of possible transmission frequencies. The densification of base stations will pose an increased number of complex coverage and capacity situations where flexible and computational simple channel models are essential. In this paper, we study state-of-the-art empirical channel models, more specifically ITU-R M.2412 and 3GPP 38.901, and their performance on experimental measurements at 2630 MHz for LTE-A reference parameters such as RSRP. A crude ray-tracing model is implemented for reference. The results show an increase in the predictive performance of approximately 4 dB at 811 MHz compared to higher frequencies of 2630 MHz.",

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author = "Jakob Thrane and Darko Zibar and Christiansen, {Henrik Lehrmann}",

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note = "2019 IEEE 90th Vehicular Technology Conference, VTC 2019 Fall ; Conference date: 22-09-2019 Through 25-09-2019",

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AU - Zibar, Darko

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N1 - Conference code: 90

PY - 2019

Y1 - 2019

N2 - Accurate channel models for predicting received power under slow fading impairments are essential for planning 5G solutions due to the increased range of possible transmission frequencies. The densification of base stations will pose an increased number of complex coverage and capacity situations where flexible and computational simple channel models are essential. In this paper, we study state-of-the-art empirical channel models, more specifically ITU-R M.2412 and 3GPP 38.901, and their performance on experimental measurements at 2630 MHz for LTE-A reference parameters such as RSRP. A crude ray-tracing model is implemented for reference. The results show an increase in the predictive performance of approximately 4 dB at 811 MHz compared to higher frequencies of 2630 MHz.

AB - Accurate channel models for predicting received power under slow fading impairments are essential for planning 5G solutions due to the increased range of possible transmission frequencies. The densification of base stations will pose an increased number of complex coverage and capacity situations where flexible and computational simple channel models are essential. In this paper, we study state-of-the-art empirical channel models, more specifically ITU-R M.2412 and 3GPP 38.901, and their performance on experimental measurements at 2630 MHz for LTE-A reference parameters such as RSRP. A crude ray-tracing model is implemented for reference. The results show an increase in the predictive performance of approximately 4 dB at 811 MHz compared to higher frequencies of 2630 MHz.

KW - Radio propagation

KW - Mobile communication

KW - 5G mobile communication

KW - Channel models

KW - Path loss

U2 - 10.1109/vtcfall.2019.8891306

DO - 10.1109/vtcfall.2019.8891306

M3 - Article in proceedings

SN - 9781728112206

BT - Proceedings of 90th IEEE Vehicular Technology Conference

PB - IEEE

T2 - 2019 IEEE 90th Vehicular Technology Conference

Y2 - 22 September 2019 through 25 September 2019

ER -

Comparison of empirical and ray-tracing models for mobile communication systems at 2.6 GHz

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