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Energy-Efficient Analog Beamforming for RF-WET With Charging Time Constraint
Internet of Things (IoT) sustainability may hinge on radio frequency wireless energy transfer (RF-WET). However, energy-efficient charging strategies are still needed, motivating our work. Specifically, this letter proposes a time division scheme to efficiently charge low-power devices in an IoT net...
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Published in: | IEEE transactions on vehicular technology 2024-08, Vol.73 (8), p.12160-12165 |
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creator | Rosabal, Osmel Martinez Lopez, Onel L. Alcaraz Alves, Hirley |
description | Internet of Things (IoT) sustainability may hinge on radio frequency wireless energy transfer (RF-WET). However, energy-efficient charging strategies are still needed, motivating our work. Specifically, this letter proposes a time division scheme to efficiently charge low-power devices in an IoT network. For this, a multi-antenna power beacon (PB) drives the devices' energy harvesting circuit to the highest power conversion efficiency point via energy beamforming, thus achieving minimum energy consumption. Herein, we adopt the analog multi-antenna architecture due to its low complexity, cost, and energy consumption. The proposal includes a simple yet accurate model for the transfer characteristic of the energy harvesting circuit, enabling the optimization framework. The results evince the effectiveness of our RF-WET strategy over a benchmark scheme where the PB charges all the IoT devices simultaneously. Furthermore, the performance increases with the number of PB antennas. |
doi_str_mv | 10.1109/TVT.2024.3372703 |
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Furthermore, the performance increases with the number of PB antennas.</description><subject>Analog beamforming</subject><subject>Array signal processing</subject><subject>Energy consumption</subject><subject>energy efficiency</subject><subject>Internet of Things</subject><subject>Lead</subject><subject>low-complexity WET</subject><subject>Optimization</subject><subject>Radio frequency</subject><subject>Rectennas</subject><subject>sustainability</subject><issn>0018-9545</issn><issn>1939-9359</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>ESBDL</sourceid><recordid>eNpNkDtPwzAUhS0EEqWwMzD4D7j4mcZjiVJAioSEAh2jG-c6NWoS5GTpvydVOzAdHZ3H8BHyKPhKCG6fy-9yJbnUK6XWcs3VFVkIqyyzythrsuBcpMwabW7J3Tj-zFZrKxakyHuM7ZHl3gcXsJ_opofD0NIXhM4PsQt9S2eln1u2y0u6C9OeZnuI7SkoQ4c0G_pxihD66Z7ceDiM-HDRJfna5mX2xoqP1_dsUzAnjZ0YJCLRUjay1tYiTwERtECLHgSkCE3jtFaKS-dkY-pEeV4n6xpcwlMjRaqWhJ9_XRzGMaKvfmPoIB4rwasTjWqmUZ1oVBca8-TpPAmI-K-uTarn-A95IFtp</recordid><startdate>20240801</startdate><enddate>20240801</enddate><creator>Rosabal, Osmel Martinez</creator><creator>Lopez, Onel L. 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subjects | Analog beamforming Array signal processing Energy consumption energy efficiency Internet of Things Lead low-complexity WET Optimization Radio frequency Rectennas sustainability |
title | Energy-Efficient Analog Beamforming for RF-WET With Charging Time Constraint |
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