URI | http://purl.tuc.gr/dl/dias/024479EE-80AC-4B49-ABFF-88465FB80626 | - |
Αναγνωριστικό | https://doi.org/10.1109/SPAWC.2018.8445956 | - |
Αναγνωριστικό | https://ieeexplore.ieee.org/document/8445956 | - |
Γλώσσα | en | - |
Μέγεθος | 5 pages | en |
Τίτλος | Nonlinear energy harvesting models in wireless information and power transfer | en |
Δημιουργός | Alevizos Panagiotis | en |
Δημιουργός | Αλεβιζος Παναγιωτης | el |
Δημιουργός | Vougioukas Georgios | en |
Δημιουργός | Βουγιουκας Γεωργιος | el |
Δημιουργός | Bletsas Aggelos | en |
Δημιουργός | Μπλετσας Αγγελος | el |
Εκδότης | Institute of Electrical and Electronics Engineers | en |
Περίληψη | This 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 |
Τύπος | Πλήρης Δημοσίευση σε Συνέδριο | el |
Τύπος | Conference Full Paper | en |
Άδεια Χρήσης | http://creativecommons.org/licenses/by/4.0/ | en |
Ημερομηνία | 2019-06-06 | - |
Ημερομηνία Δημοσίευσης | 2018 | - |
Θεματική Κατηγορία | Energy transfer | en |
Θεματική Κατηγορία | Rectifying circuits | en |
Θεματική Κατηγορία | Signal processing | en |
Θεματική Κατηγορία | Wireless telecommunication systems | en |
Βιβλιογραφική Αναφορά | P. 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.2018.8445956 | en |