Modeling the Impact of 5G Leakage on Weather Prediction

Mohammad Yousefvand, Chung Tse Michael Wu, Ruo Qian Wang, Joseph Brodie, Narayan Mandayam

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The 5G band allocated in the 26 GHz spectrum referred to as 3GPP band n258, has generated a lot of anxiety and concern in the meteorological data forecasting community including the National Oceanic and Atmospheric Administration (NOAA). Unlike traditional spectrum coexistence problems, the issue here stems from the leakage of n258 band transmissions impacting the observations of passive sensors (e.g. AMSU-A) operating at 23.8 GHz on weather satellites used to detect the amount of water vapor in the atmosphere, which in turn affects weather forecasting and predictions. In this paper, we study the impact of 5G leakage on the accuracy of data assimilation based weather prediction algorithms by using a first order propagation model to characterize the effect of the leakage signal on the brightness temperature (atmospheric radiance) and the induced noise temperature at the receiving antenna of the passive sensor (radiometer) on the weather observation satellite. We then characterize the resulting inaccuracies when using the Weather Research and Forecasting Data Assimilation model (WRFDA) to predict temperature and rainfall. For example, the impact of 5G leakage of-20dBW to-15dBW on the well-known Super Tuesday Tornado Outbreak data set, affects the meteorological forecasting up to 0.9 mm in precipitation and 1.3°C in 2m-temperature. We outline future directions for both improved modeling of 5G leakage effects as well as mitigation using cross-layer antenna techniques coupled with resource allocation.

Original languageEnglish (US)
Title of host publication2020 IEEE 3rd 5G World Forum, 5GWF 2020 - Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages291-296
Number of pages6
ISBN (Electronic)9781728172996
DOIs
StatePublished - Sep 2020
Event3rd IEEE 5G World Forum, 5GWF 2020 - Virtual, Bangalore, India
Duration: Sep 10 2020Sep 12 2020

Publication series

Name2020 IEEE 3rd 5G World Forum, 5GWF 2020 - Conference Proceedings

Conference

Conference3rd IEEE 5G World Forum, 5GWF 2020
CountryIndia
CityVirtual, Bangalore
Period9/10/209/12/20

All Science Journal Classification (ASJC) codes

  • Hardware and Architecture
  • Information Systems and Management
  • Safety, Risk, Reliability and Quality
  • Computer Networks and Communications

Keywords

  • 5G
  • leakage
  • mmWave
  • n258 band
  • radiance
  • weather prediction

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