Quantifying Hardware Related Attenuation from the Analysis of Nearby Microwave Links

Martin Fencl; Vojtech Bares

doi:10.1109/SSP.2018.8450825

Quantifying Hardware Related Attenuation from the Analysis of Nearby Microwave Links

Martin Fencl
, Vojtech Bares

Czech Technical University in Prague

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Abstract

Commercial microwave links (CMLs), widely used as a backhaul of cellular networks, can be used for rainfall retrieval. Major uncertainties in CML rainfall estimation arise from hardware related attenuation, which is difficult to quantify. The contribution suggests using close-by CMLs to quantify this attenuation. The approach is tested on two years of data from three CMLs operating at 38 GHz. The results show that hardware related attenuation can reach more than 10 dB and that these extreme values are associated with heavy rainfalls. However, high attenuation values can occur also during light rainfalls and dew events. We suggest, that hardware related attenuation follows different functional relation during light and during heavy rainfalls. During light rainfalls (and dew events), attenuation gradually increases, however, during heavy rainfalls it is rather dependent on rainfall intensity.

Original language	English
Title of host publication	2018 IEEE Statistical Signal Processing Workshop (SSP)
Publisher	IEEE Press
Publication date	2018
Pages	135-138
ISBN (Electronic)	978-1-5386-1571-3
DOIs	https://doi.org/10.1109/SSP.2018.8450825
Publication status	Published - 2018
Event	2018 IEEE Workshop on Statistical Signal Processing - Freiburg, Germany Duration: 10 Jun 2018 → 13 Jun 2018 https://ieeexplore.ieee.org/xpl/conhome/8411683/proceeding

Conference

Conference	2018 IEEE Workshop on Statistical Signal Processing
Country/Territory	Germany
City	Freiburg
Period	10/06/2018 → 13/06/2018
Internet address	https://ieeexplore.ieee.org/xpl/conhome/8411683/proceeding

Keywords

Attenuation
Hardware
Correlation
Meteorology
Microwave communication
Microwave antennas
Uncertainty
commercial microwave links
rainfall retrieval
hardware attenuation
total loss
wet antenna attenuation

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10.1109/SSP.2018.8450825

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@inproceedings{6b1fcfb68b744a9cbd2f85a1914a4b31,

title = "Quantifying Hardware Related Attenuation from the Analysis of Nearby Microwave Links",

abstract = "Commercial microwave links (CMLs), widely used as a backhaul of cellular networks, can be used for rainfall retrieval. Major uncertainties in CML rainfall estimation arise from hardware related attenuation, which is difficult to quantify. The contribution suggests using close-by CMLs to quantify this attenuation. The approach is tested on two years of data from three CMLs operating at 38 GHz. The results show that hardware related attenuation can reach more than 10 dB and that these extreme values are associated with heavy rainfalls. However, high attenuation values can occur also during light rainfalls and dew events. We suggest, that hardware related attenuation follows different functional relation during light and during heavy rainfalls. During light rainfalls (and dew events), attenuation gradually increases, however, during heavy rainfalls it is rather dependent on rainfall intensity.",

keywords = "Attenuation, Hardware, Correlation, Meteorology, Microwave communication, Microwave antennas, Uncertainty, commercial microwave links, rainfall retrieval, hardware attenuation, total loss, wet antenna attenuation",

author = "Martin Fencl and Vojtech Bares",

year = "2018",

doi = "10.1109/SSP.2018.8450825",

language = "English",

pages = "135--138",

booktitle = "2018 IEEE Statistical Signal Processing Workshop (SSP)",

publisher = "IEEE Press",

note = "2018 IEEE Workshop on Statistical Signal Processing, SSP 2018 ; Conference date: 10-06-2018 Through 13-06-2018",

url = "https://ieeexplore.ieee.org/xpl/conhome/8411683/proceeding",

}

TY - GEN

T1 - Quantifying Hardware Related Attenuation from the Analysis of Nearby Microwave Links

AU - Fencl, Martin

AU - Bares, Vojtech

PY - 2018

Y1 - 2018

N2 - Commercial microwave links (CMLs), widely used as a backhaul of cellular networks, can be used for rainfall retrieval. Major uncertainties in CML rainfall estimation arise from hardware related attenuation, which is difficult to quantify. The contribution suggests using close-by CMLs to quantify this attenuation. The approach is tested on two years of data from three CMLs operating at 38 GHz. The results show that hardware related attenuation can reach more than 10 dB and that these extreme values are associated with heavy rainfalls. However, high attenuation values can occur also during light rainfalls and dew events. We suggest, that hardware related attenuation follows different functional relation during light and during heavy rainfalls. During light rainfalls (and dew events), attenuation gradually increases, however, during heavy rainfalls it is rather dependent on rainfall intensity.

AB - Commercial microwave links (CMLs), widely used as a backhaul of cellular networks, can be used for rainfall retrieval. Major uncertainties in CML rainfall estimation arise from hardware related attenuation, which is difficult to quantify. The contribution suggests using close-by CMLs to quantify this attenuation. The approach is tested on two years of data from three CMLs operating at 38 GHz. The results show that hardware related attenuation can reach more than 10 dB and that these extreme values are associated with heavy rainfalls. However, high attenuation values can occur also during light rainfalls and dew events. We suggest, that hardware related attenuation follows different functional relation during light and during heavy rainfalls. During light rainfalls (and dew events), attenuation gradually increases, however, during heavy rainfalls it is rather dependent on rainfall intensity.

KW - Attenuation

KW - Hardware

KW - Correlation

KW - Meteorology

KW - Microwave communication

KW - Microwave antennas

KW - Uncertainty

KW - commercial microwave links

KW - rainfall retrieval

KW - hardware attenuation

KW - total loss

KW - wet antenna attenuation

U2 - 10.1109/SSP.2018.8450825

DO - 10.1109/SSP.2018.8450825

M3 - Article in proceedings

SP - 135

EP - 138

BT - 2018 IEEE Statistical Signal Processing Workshop (SSP)

PB - IEEE Press

T2 - 2018 IEEE Workshop on Statistical Signal Processing

Y2 - 10 June 2018 through 13 June 2018

ER -

Quantifying Hardware Related Attenuation from the Analysis of Nearby Microwave Links

Abstract

Conference

Keywords

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