Optimal power control for wireless power transfer system: A deterministic approach

Minchae Jung, Youngrok Jang, Sooyong Choi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This paper proposes an optimal power control in wireless power transfer systems with a large number of energy harvesting (EH) devices. Based on the rectenna circuit, we consider a practical non-linear energy harvesting model and derive the practical radio frequency to direct current conversion efficiency. Based on the conversion efficiency, we also analyze the harvesting power and power efficiency with respect to the transmission power. Then we derive the optimal harvesting power and power efficiency by utilizing the characteristics of a large number of EH devices. Simulation results show that the results of deterministic approaches perform close to the Monte Carlo results and the maximum power efficiency can be asymptotically achieved.

Original languageEnglish
Title of host publicationICUFN 2017 - 9th International Conference on Ubiquitous and Future Networks
PublisherIEEE Computer Society
Pages193-196
Number of pages4
ISBN (Electronic)9781509047499
DOIs
Publication statusPublished - 2017 Jul 26
Event9th International Conference on Ubiquitous and Future Networks, ICUFN 2017 - Milan, Italy
Duration: 2017 Jul 42017 Jul 7

Other

Other9th International Conference on Ubiquitous and Future Networks, ICUFN 2017
CountryItaly
CityMilan
Period17/7/417/7/7

Fingerprint

Energy harvesting
Power control
Conversion efficiency
Power transmission
Networks (circuits)

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications
  • Hardware and Architecture

Cite this

Jung, M., Jang, Y., & Choi, S. (2017). Optimal power control for wireless power transfer system: A deterministic approach. In ICUFN 2017 - 9th International Conference on Ubiquitous and Future Networks (pp. 193-196). [7993773] IEEE Computer Society. https://doi.org/10.1109/ICUFN.2017.7993773
Jung, Minchae ; Jang, Youngrok ; Choi, Sooyong. / Optimal power control for wireless power transfer system : A deterministic approach. ICUFN 2017 - 9th International Conference on Ubiquitous and Future Networks. IEEE Computer Society, 2017. pp. 193-196
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Jung, M, Jang, Y & Choi, S 2017, Optimal power control for wireless power transfer system: A deterministic approach. in ICUFN 2017 - 9th International Conference on Ubiquitous and Future Networks., 7993773, IEEE Computer Society, pp. 193-196, 9th International Conference on Ubiquitous and Future Networks, ICUFN 2017, Milan, Italy, 17/7/4. https://doi.org/10.1109/ICUFN.2017.7993773

Optimal power control for wireless power transfer system : A deterministic approach. / Jung, Minchae; Jang, Youngrok; Choi, Sooyong.

ICUFN 2017 - 9th International Conference on Ubiquitous and Future Networks. IEEE Computer Society, 2017. p. 193-196 7993773.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - This paper proposes an optimal power control in wireless power transfer systems with a large number of energy harvesting (EH) devices. Based on the rectenna circuit, we consider a practical non-linear energy harvesting model and derive the practical radio frequency to direct current conversion efficiency. Based on the conversion efficiency, we also analyze the harvesting power and power efficiency with respect to the transmission power. Then we derive the optimal harvesting power and power efficiency by utilizing the characteristics of a large number of EH devices. Simulation results show that the results of deterministic approaches perform close to the Monte Carlo results and the maximum power efficiency can be asymptotically achieved.

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Jung M, Jang Y, Choi S. Optimal power control for wireless power transfer system: A deterministic approach. In ICUFN 2017 - 9th International Conference on Ubiquitous and Future Networks. IEEE Computer Society. 2017. p. 193-196. 7993773 https://doi.org/10.1109/ICUFN.2017.7993773