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Mathematical Problems in Engineering
Article . 2019 . Peer-reviewed
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Mathematical Problems in Engineering
Article
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Article . 2019
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Modeling the Energy Harvested by an RF Energy Harvesting System Using Gamma Processes

Modeling the energy harvested by an RF energy harvesting system using gamma processes
Authors: Inma T. Castro; Luis Landesa; Alberto Serna;

Modeling the Energy Harvested by an RF Energy Harvesting System Using Gamma Processes

Abstract

In an Energy Harvesting system (EHS) the gamma process is used to model the electromagnetic energy received from radiofrequency (RF) radiation. The stochastic characterization of the harvested energy as a continuous‐time stochastic process, namely, gamma process, is obtained from the Nakagami‐m fading model, which describes the signal reception in a large amount of types of radiofrequency channels. Using the gamma process, some performance measures of the EHS system are obtained. Also, a transmission policy subject to different fading conditions is considered.

Related Organizations
Keywords

Signal theory (characterization, reconstruction, filtering, etc.), Waves and radiation in optics and electromagnetic theory

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
12
Top 10%
Top 10%
Top 10%
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