Information and Energy Transmission with Wavelet-Reconstructed Harvesting Functions

Daewon Seo, Yongjune Kim

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

In practical simultaneous information and energy transmission (SIET), the exact energy harvesting function is usually unavailable because a harvesting circuit is nonlinear and nonideal. In this work, we consider a SIET problem where the harvesting function is accessible only at sample points that are experimentally taken in the presence of noise. Assuming that the harvesting function is of bounded variation that may have discontinuities, we propose to design SIET based on the wavelet-reconstructed harvesting function. The main focus is its asymptotic performance of expected energy and information rate. Specifically, we propose to design a SIET system based on the wavelet-reconstructed harvesting function with soft-thresholding estimation. Then, the expected loss in energy transmission asymptotically vanishes as the number of samples grows, which turns out to be optimal up to a logarithmic factor. The expected loss in information transmission also vanishes if the target energy delivery is in the interior of the deliverable energy range.

Original languageEnglish
Title of host publication2022 IEEE International Symposium on Information Theory, ISIT 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages754-759
Number of pages6
ISBN (Electronic)9781665421591
DOIs
StatePublished - 2022
Event2022 IEEE International Symposium on Information Theory, ISIT 2022 - Espoo, Finland
Duration: 26 Jun 20221 Jul 2022

Publication series

NameIEEE International Symposium on Information Theory - Proceedings
Volume2022-June
ISSN (Print)2157-8095

Conference

Conference2022 IEEE International Symposium on Information Theory, ISIT 2022
Country/TerritoryFinland
CityEspoo
Period26/06/221/07/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Keywords

  • capacity-energy function
  • energy harvesting
  • functions of bounded variation
  • wavelets

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