Quantifying Hardware Related Attenuation from the Analysis of Nearby Microwave Links

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F18%3A00330173" target="_blank" >RIV/68407700:21110/18:00330173 - isvavai.cz</a>
Result on the web
<a href="https://www.scopus.com/record/display.uri?eid=2-s2.0-85053841633&origin=inward&txGid=08b14b0614a9623eb7360215b605b145" target="_blank" >https://www.scopus.com/record/display.uri?eid=2-s2.0-85053841633&origin=inward&txGid=08b14b0614a9623eb7360215b605b145</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/SSP.2018.8450825" target="_blank" >10.1109/SSP.2018.8450825</a>

Result language
angličtina
Original language name
Quantifying Hardware Related Attenuation from the Analysis of Nearby Microwave Links
Original language description
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.
Czech name
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Czech description
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Project
<a href="/en/project/GA17-16389S" target="_blank" >GA17-16389S: Hydrological estimates from radiowave propagation in terrestial microwave network</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
2018 IEEE Statistical Signal Processing Workshop (SSP)
ISBN
9781538615706
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
523-527
Publisher name
IEEE (Institute of Electrical and Electronics Engineers)
Place of publication
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Event location
Freiburg
Event date
Jun 10, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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