2026-08-29T14:55:16Zhttps://repisalud.isciii.es/rest/oai/requestoai:repisalud.isciii.es:20.500.12105/235262024-11-28T22:33:57Zcom_20.500.12105_15322com_20.500.12105_2051col_20.500.12105_16967
Repisalud
author
Galmés, SebastiÃ
2024-10-04T13:57:56Z
2024-10-04T13:57:56Z
2022-10-14
Sensors (Basel). 2022 Oct 14;22(20):7828
10.3390/s22207828
1424-8220
Sensors (Basel, Switzerland)
http://hdl.handle.net/20.500.13003/18554
36298179
2-s2.0-85140862007
https://hdl.handle.net/20.500.12105/23526
875067700001
In the past few years, the ability to transfer power wirelessly has experienced growing interest from the research community. Because the wireless channel is subject to a large number of random phenomena, a crucial aspect is the statistical characterization of the energy that can be harvested by a given device. For this characterization to be reliable, a powerful model of the propagation channel is necessary. The recently proposed generalized-K model has proven to be very useful, as it encompasses the effects of path loss, shadowing, and fast fading for a broad set of wireless scenarios, and because it is analytically tractable. Accordingly, the purpose of this paper is to characterize, from a statistical point of view, the energy harvested by a static device from an unmodulated carrier signal generated by a dedicated source, assuming that the wireless channel obeys the generalized-K propagation model. Specifically, by using simulation-validated analytical methods, this paper provides exact closed-form expressions for the average and variance of the energy harvested over an arbitrary time period. The derived formulation can be used to determine a power transfer plan that allows multiple or even massive numbers of low-power devices to operate continuously, as expected from future network scenarios such as the Internet of things or 5G/6G.
eng
Statistical Characterization of Wireless Power Transfer via Unmodulated Emission
research article