Nonlinear Energy Harvesting Models in Wireless Information and Power Transfer
| Autor: | Georgios Vougioukas, Aggelos Bletsas, Panos N. Alevizos |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Signal Processing (eess.SP)
Signal processing Work (thermodynamics) business.industry Computer science 020206 networking & telecommunications Context (language use) 02 engineering and technology 020202 computer hardware & architecture Rectifying circuits Nonlinear system Energy transfer FOS: Electrical engineering electronic engineering information engineering 0202 electrical engineering electronic engineering information engineering Electronic engineering Wireless telecommunication systems Maximum power transfer theorem Wireless Radio frequency Sensitivity (control systems) Electrical Engineering and Systems Science - Signal Processing business Energy harvesting |
| Zdroj: | SPAWC |
| Popis: | Summarization: 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. Presented on |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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