Estimation of Received Signal Strength Distribution for Smart Meters with Biased Measurement Data Set

Mathias Rønholt Kielgast, Anders Charly Rasmussen, Mathias Hjorth Laursen, Jimmy Jessen Nielsen, Petar Popovski, Rasmus Krigslund

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1 Citation (Scopus)

Abstract

This letter presents an experimental study and a novel modelling approach of the wireless channel of smart utility meters placed in basements or sculleries. The experimental data consist of signal strength measurements of consumption report packets. Since such packets are only registered if they can be decoded by the receiver, the part of the signal strength distribution that falls below the receiver sensitivity threshold is not observable. We combine a Rician fading model with a bias function that captures the cut-off in the observed signal strength measurements. Two sets of experimental data are analysed. It is shown that the proposed method offers an approximation of the distribution of the signal strength measurements that is better than a naïve Rician fitting.
Original languageEnglish
JournalIEEE Wireless Communications Letters
Volume6
Issue number1
Pages (from-to)2-5
ISSN2162-2337
DOIs
Publication statusPublished - 2017

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Kielgast, Mathias Rønholt ; Rasmussen, Anders Charly ; Laursen, Mathias Hjorth ; Nielsen, Jimmy Jessen ; Popovski, Petar ; Krigslund, Rasmus. / Estimation of Received Signal Strength Distribution for Smart Meters with Biased Measurement Data Set. In: IEEE Wireless Communications Letters. 2017 ; Vol. 6, No. 1. pp. 2-5.
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abstract = "This letter presents an experimental study and a novel modelling approach of the wireless channel of smart utility meters placed in basements or sculleries. The experimental data consist of signal strength measurements of consumption report packets. Since such packets are only registered if they can be decoded by the receiver, the part of the signal strength distribution that falls below the receiver sensitivity threshold is not observable. We combine a Rician fading model with a bias function that captures the cut-off in the observed signal strength measurements. Two sets of experimental data are analysed. It is shown that the proposed method offers an approximation of the distribution of the signal strength measurements that is better than a na{\"i}ve Rician fitting.",
author = "Kielgast, {Mathias R{\o}nholt} and Rasmussen, {Anders Charly} and Laursen, {Mathias Hjorth} and Nielsen, {Jimmy Jessen} and Petar Popovski and Rasmus Krigslund",
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Estimation of Received Signal Strength Distribution for Smart Meters with Biased Measurement Data Set. / Kielgast, Mathias Rønholt; Rasmussen, Anders Charly; Laursen, Mathias Hjorth; Nielsen, Jimmy Jessen; Popovski, Petar; Krigslund, Rasmus.

In: IEEE Wireless Communications Letters, Vol. 6, No. 1, 2017, p. 2-5.

Research output: Contribution to journalLetterResearchpeer-review

TY - JOUR

T1 - Estimation of Received Signal Strength Distribution for Smart Meters with Biased Measurement Data Set

AU - Kielgast, Mathias Rønholt

AU - Rasmussen, Anders Charly

AU - Laursen, Mathias Hjorth

AU - Nielsen, Jimmy Jessen

AU - Popovski, Petar

AU - Krigslund, Rasmus

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AB - This letter presents an experimental study and a novel modelling approach of the wireless channel of smart utility meters placed in basements or sculleries. The experimental data consist of signal strength measurements of consumption report packets. Since such packets are only registered if they can be decoded by the receiver, the part of the signal strength distribution that falls below the receiver sensitivity threshold is not observable. We combine a Rician fading model with a bias function that captures the cut-off in the observed signal strength measurements. Two sets of experimental data are analysed. It is shown that the proposed method offers an approximation of the distribution of the signal strength measurements that is better than a naïve Rician fitting.

U2 - 10.1109/LWC.2016.2619346

DO - 10.1109/LWC.2016.2619346

M3 - Letter

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EP - 5

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