Induced bias in attenuation measurements taken from commercial microwave links

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

Abstract

Cellular backhaul networks usually consist of commercial microwave links, known to be sensitive to weather conditions. The management network systems usually provide records of measurements of the transmitted and the received signals levels from the different microwave links for monitoring and analyzing the network performance. Many of them log only the minimum and the maximum levels of the transmitted and the received signals in pre-set intervals (usually 15-minute). Moreover, only quantized version of these measurements are logged. In the last decade it has been proposed to use these existing measurements for rainfall monitoring. In this paper we analyze the effects of the quantizer and the min/max operators on commercial microwave links signals levels measurements. We show that the quantization process, in combination with the min/max operators, adds bias to the measurements which can be significant. We then propose a method to calculate this bias, and demonstrate our findings using measurements from actual commercial microwave links.

Original languageEnglish
Title of host publication2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3744-3748
Number of pages5
ISBN (Electronic)9781509041176
DOIs
StatePublished - 16 Jun 2017
Event2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - New Orleans, United States
Duration: 5 Mar 20179 Mar 2017

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)1520-6149

Conference

Conference2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017
Country/TerritoryUnited States
CityNew Orleans
Period5/03/179/03/17

Keywords

  • Microwave Networks
  • Precipitation Attenuation
  • Quantization Noise

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