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 language | English |
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Title of host publication | 2022 IEEE International Symposium on Information Theory, ISIT 2022 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 754-759 |
Number of pages | 6 |
ISBN (Electronic) | 9781665421591 |
DOIs | |
State | Published - 2022 |
Event | 2022 IEEE International Symposium on Information Theory, ISIT 2022 - Espoo, Finland Duration: 26 Jun 2022 → 1 Jul 2022 |
Publication series
Name | IEEE International Symposium on Information Theory - Proceedings |
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Volume | 2022-June |
ISSN (Print) | 2157-8095 |
Conference
Conference | 2022 IEEE International Symposium on Information Theory, ISIT 2022 |
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Country/Territory | Finland |
City | Espoo |
Period | 26/06/22 → 1/07/22 |
Bibliographical note
Publisher Copyright:© 2022 IEEE.
Keywords
- capacity-energy function
- energy harvesting
- functions of bounded variation
- wavelets