Wireless Power Transfer and Data Communication Cognitive Radio through Two-Coil Inductive Channel
| Autor: | Safa Zouaoui, Mauro Tucci, Ayman Radwan, Sami Barmada, Wael Dghais, Malek Souilem |
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| Rok vydání: | 2019 |
| Předmět: |
two-coil inductive channel
Computer science wireless power transfer 02 engineering and technology Data link symbols.namesake Channel capacity Data communication modulated signal cognitive radio broadband communications 0202 electrical engineering electronic engineering information engineering Electronic engineering Wireless power transfer Power transmission Scattering 020208 electrical & electronic engineering 020206 networking & telecommunications Cognitive radio Additive white Gaussian noise symbols Equivalent circuit Electrical efficiency Coupling coefficient of resonators Communication channel |
| Zdroj: | GLOBECOM |
| Popis: | This paper investigates two-coil inductive channel for an efficient Wireless Power Transfer (WPT), while intelligently enabling high-data rate communication. The analysis is based on the power efficiency and channel capacity performance, which are determined based on the multiport scattering (S)-parameters numerical simulation results, using a lumped equivalent circuit model. Different access points and configuration scenarios, along with the decoupling filters design consideration of power and data links, were compared in order to cognitively share the two-coil inductive channel, for handling both high-power signal and low-power modulated high- frequency data signal. The performance of the transmission and isolation between the power and data link is evaluated. The theoretical channel capacity of the proposed two-coil circuit is calculated, as a function of the coupling coefficient k12, as well as in the presence of an additive white Gaussian noise and signal to noise ratio. This paper adds to the intelligence and cognition of the radio, to efficiently use the limited available spectrum for broadband communications, in addition to power transmission, simultaneously. |
| Databáze: | OpenAIRE |
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