From cellular networks to the garden hose: Advances in rainfall monitoring via cellular power measurements

Hagit Messer, Lior Gazit

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

Abstract

Real-time rainfall monitoring has always presented great benefits but faced practical challenges. The last decade presented key advancements, the major part of which revolves around employing the effects of precipitation on wireless electromagnetic waves, and in particular, communication signals. Here we present developments in rainfall monitoring involving wireless communication networks. In particular, we discuss the use of existing physical measurements taken by commercial cellular networks as proxies for rainfall. Each microwave-link, representing the channel between two base-stations in a cellular network, can serve as a rain-sensor since the attenuation of the signal along the link is proportional to rain rates. We discuss the opportunities and challenges in using these Opportunistic Sensors (OS) and demonstrate how improvements in coverage, accuracy, and resolution of rainfall measurements can be achieved with no hardware costs. In particular, we discuss the challenge of relating the available links' geometry to the feasible precision and resolution of the reconstructed rainfall map.

Original languageEnglish
Title of host publication2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1012-1016
Number of pages5
ISBN (Electronic)9781509045457
DOIs
StatePublished - 19 Apr 2017
Event2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016 - Washington, United States
Duration: 7 Dec 20169 Dec 2016

Publication series

Name2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016 - Proceedings

Conference

Conference2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016
Country/TerritoryUnited States
CityWashington
Period7/12/169/12/16

Keywords

  • Microwave links
  • Rain field estimation
  • Rainfall mapping
  • Sparsity

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