Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/231952
Title: Estimation of Received Signal Strength Distribution for Smart Meters With Biased Measurement Data Set
Authors: Mathias R&x00F8;nholt Kielgast;Anders Charly Rasmussen;Mathias Hjorth Laursen;Jimmy Jessen Nielsen;Petar Popovski;Rasmus Krigslund
Year: 2017
Publisher: IEEE
Abstract: This letter presents an experimental study and a novel modeling 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 analyzed. It is shown that the proposed method offers an approximation of the distribution of the signal strength measurements that is better than a nai&x0308;ve Rician fitting.
URI: http://localhost/handle/Hannan/231952
volume: 6
issue: 1
More Information: 2,
5
Appears in Collections:2017

Files in This Item:
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7600423.pdf774.44 kBAdobe PDF
Title: Estimation of Received Signal Strength Distribution for Smart Meters With Biased Measurement Data Set
Authors: Mathias R&x00F8;nholt Kielgast;Anders Charly Rasmussen;Mathias Hjorth Laursen;Jimmy Jessen Nielsen;Petar Popovski;Rasmus Krigslund
Year: 2017
Publisher: IEEE
Abstract: This letter presents an experimental study and a novel modeling 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 analyzed. It is shown that the proposed method offers an approximation of the distribution of the signal strength measurements that is better than a nai&x0308;ve Rician fitting.
URI: http://localhost/handle/Hannan/231952
volume: 6
issue: 1
More Information: 2,
5
Appears in Collections:2017

Files in This Item:
File SizeFormat 
7600423.pdf774.44 kBAdobe PDF
Title: Estimation of Received Signal Strength Distribution for Smart Meters With Biased Measurement Data Set
Authors: Mathias R&x00F8;nholt Kielgast;Anders Charly Rasmussen;Mathias Hjorth Laursen;Jimmy Jessen Nielsen;Petar Popovski;Rasmus Krigslund
Year: 2017
Publisher: IEEE
Abstract: This letter presents an experimental study and a novel modeling 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 analyzed. It is shown that the proposed method offers an approximation of the distribution of the signal strength measurements that is better than a nai&x0308;ve Rician fitting.
URI: http://localhost/handle/Hannan/231952
volume: 6
issue: 1
More Information: 2,
5
Appears in Collections:2017

Files in This Item:
File SizeFormat 
7600423.pdf774.44 kBAdobe PDF