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- W2964003790 abstract "As a candidate power supply solution for the Internet of Things, radio frequency (RF) energy harvesting has attracted great attention recently. In this paper, we consider an RF wireless-powered network, which consists of a dedicated power beacon (PB) and multiple user nodes. The PB is assumed to have limited energy and transfers its power to user nodes wirelessly. The user nodes work only based on energy harvested from the PB, and are assumed to be in either energy harvesting mode, energy consumption mode, or idle mode. To maximize the total harvested energy, we coordinate the behaviors of the PB and user nodes, and propose a general charge scheduling scheme that can achieve the system's maximum harvested energy. We then compare the results of our proposed scheme with the benchmark schemes, and simulation results demonstrate the effectiveness of our proposed scheduling." @default.
- W2964003790 created "2019-07-30" @default.
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- W2964003790 date "2019-04-01" @default.
- W2964003790 modified "2023-10-01" @default.
- W2964003790 title "Optimal Charge Scheduling for Energy-Constrained Wireless-Powered Network" @default.
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- W2964003790 doi "https://doi.org/10.1109/wf-iot.2019.8767293" @default.
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