Sense-then-Charge: Wireless Power Transfer to Unresponsive Devices with Unknown Location
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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866915265752596480 |
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| author | Azarbahram, Amirhossein López, Onel L. A. Souza, Richard D. Popovski, Petar Latva-aho, Matti |
| author_facet | Azarbahram, Amirhossein López, Onel L. A. Souza, Richard D. Popovski, Petar Latva-aho, Matti |
| contents | This paper explores a multi-antenna dual-functional radio frequency (RF) wireless power transfer (WPT) and radar system to charge multiple unresponsive devices. We formulate a beamforming problem to maximize the minimum received power at the devices without prior location and channel state information (CSI) knowledge. We propose dividing transmission blocks into sensing and charging phases. First, the location of the devices is estimated by sending sensing signals and performing multiple signal classification and least square estimation on the received echo. Then, the estimations are used for CSI prediction and RF-WPT beamforming. Simulation results reveal that there is an optimal number of blocks allocated for sensing and charging depending on the system setup. Our sense-then-charge (STC) protocol can outperform CSI-free benchmarks and achieve near-optimal performance with a sufficient number of receive antennas and transmit power. However, STC struggles if using insufficient antennas or power as device numbers grow. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_20580 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Sense-then-Charge: Wireless Power Transfer to Unresponsive Devices with Unknown Location Azarbahram, Amirhossein López, Onel L. A. Souza, Richard D. Popovski, Petar Latva-aho, Matti Signal Processing This paper explores a multi-antenna dual-functional radio frequency (RF) wireless power transfer (WPT) and radar system to charge multiple unresponsive devices. We formulate a beamforming problem to maximize the minimum received power at the devices without prior location and channel state information (CSI) knowledge. We propose dividing transmission blocks into sensing and charging phases. First, the location of the devices is estimated by sending sensing signals and performing multiple signal classification and least square estimation on the received echo. Then, the estimations are used for CSI prediction and RF-WPT beamforming. Simulation results reveal that there is an optimal number of blocks allocated for sensing and charging depending on the system setup. Our sense-then-charge (STC) protocol can outperform CSI-free benchmarks and achieve near-optimal performance with a sufficient number of receive antennas and transmit power. However, STC struggles if using insufficient antennas or power as device numbers grow. |
| title | Sense-then-Charge: Wireless Power Transfer to Unresponsive Devices with Unknown Location |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2504.20580 |