Galmés, Sebastià2024-10-042024-10-042022-10-14Sensors (Basel). 2022 Oct 14;22(20):7828http://hdl.handle.net/20.500.13003/18554https://hdl.handle.net/20.500.12105/23526In 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.enghttp://creativecommons.org/licenses/by/4.0/research articleAttribution 4.0 International36298179222010.3390/s222078281424-8220Sensors (Basel, Switzerland)open access2-s2.0-85140862007875067700001