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Nonlinear energy harvesting models in wireless information and power transfer

Alevizos Panagiotis, Vougioukas Georgios, Bletsas Aggelos

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URIhttp://purl.tuc.gr/dl/dias/024479EE-80AC-4B49-ABFF-88465FB80626-
Identifierhttps://doi.org/10.1109/SPAWC.2018.8445956-
Identifierhttps://ieeexplore.ieee.org/document/8445956-
Languageen-
Extent5 pagesen
TitleNonlinear energy harvesting models in wireless information and power transferen
CreatorAlevizos Panagiotisen
CreatorΑλεβιζος Παναγιωτηςel
CreatorVougioukas Georgiosen
CreatorΒουγιουκας Γεωργιοςel
CreatorBletsas Aggelosen
CreatorΜπλετσας Αγγελοςel
PublisherInstitute of Electrical and Electronics Engineersen
Content SummaryThis work compares different linear and nonlinear RF energy harvesting models, including limited or unlimited sensitivity, for simultaneous wireless information and power transfer (SWIPT). The probability of successful SWIPT reception under a family of radio frequency (RF) harvesting models is rigorously quantified, using state-of-the-art rectifiers in the context of commercial RFIDs. A significant portion of SWIPT literature uses oversimplified models that do not account for limited sensitivity or nonlinearity of the underlying harvesting circuitry. This work demonstrates how close to a practical scenario is the performance offered by a number of recently proposed RF energy harvesting models and concludes that for practical SWIPT studies, the inherent non-ideal characteristics of the system should be carefully taken into account; specific modeling methodology is also proposed. en
Type of ItemΠλήρης Δημοσίευση σε Συνέδριοel
Type of ItemConference Full Paperen
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2019-06-06-
Date of Publication2018-
SubjectEnergy transferen
SubjectRectifying circuitsen
SubjectSignal processingen
SubjectWireless telecommunication systemsen
Bibliographic CitationP. N. Alevizos, G. Vougioukas and A. Bletsas, "Nonlinear energy harvesting models in wireless information and power transfer," in IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications, 2018. doi: 10.1109/SPAWC.2018.8445956en

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