Rain Estimation from Smart City's E-band Links

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Smart cities around the world are supported by high-capacity wireless communication networks, which are based on millimeter-waves links. The propagating waves are sensitive to hydrometeors, and their signal level is attenuated by rain. However, most of the links in such networks are shorter than 1 km, imposing large errors on the rain estimation results. In this paper we demonstrate, using actual measurements from the city of Rehovot, Israel, how high-resolution rain maps can be generated from the received signal level measurements collected by these links. We first propose a method for reducing the errors in converting signal attenuation to rainfall estimates in short, in-city links. The proposed method requires calibration of model parameters using side information from either a rain gauge or a long link in the vicinity of the network. We empirically analyze the results of the calibrating method using either auxiliary measurements and show that the performance is satisfactory for both. Then, we apply a spatial interpolation method on the rainfall resulting estimates, and demonstrate the construction of an high-resolution 2-D map of the accumulated rain in a city, a product with great potential for improving well-being of life in urban areas.

Original languageEnglish
Title of host publicationIVMSP 2022 - 2022 IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665478229
DOIs
StatePublished - 2022
Event14th IEEE Image, Video, and Multidimensional Signal Processing Workshop, IVMSP 2022 - Nafplio, Greece
Duration: 26 Jun 202229 Jun 2022

Publication series

NameIVMSP 2022 - 2022 IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop

Conference

Conference14th IEEE Image, Video, and Multidimensional Signal Processing Workshop, IVMSP 2022
Country/TerritoryGreece
CityNafplio
Period26/06/2229/06/22

Funding

FundersFunder number
NSF-BSFCNS-1910757

    Keywords

    • Commercial Microwave Links (CMLs)
    • Rain Estimation
    • Rain Maps
    • Smart-City
    • mmWave

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