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- W2809434165 abstract "It has been recently shown that optimum transmission policies for energy harvesting (EH) fundamentally depends on whether or not the battery capacity is considerably larger than the average amount of energy arrivals. In other words, adequately determining the battery capacity is central for determining how much rate is sacrificed by a given transmission policy, which in turn requires knowledge on the distribution of the stored energy. In this paper, we therefore contribute with the derivation of a statistical model for the stored energy of a EH node subjected to a noisy, Gaussian excitation, which models actual piezoelectric EH circuits. Comparisons between the analytically-derived distribution and simulation results illustrate the accuracy of the model. As a side result, we provide evidence that the expressions can be used to analytically optimize the raw rate, or the bits/Joule efficiency of an EH node, measured as the ratio between the average rate over the average available energy" @default.
- W2809434165 created "2018-06-29" @default.
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- W2809434165 date "2018-06-01" @default.
- W2809434165 modified "2023-10-01" @default.
- W2809434165 title "Statistical Analysis of EH Battery State Under Noisy Energy Arrivals" @default.
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- W2809434165 doi "https://doi.org/10.1109/spawc.2018.8445771" @default.
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