How to Perform Distributed Precoding to Wirelessly Power Shelf Labels: Signal Processing and Measurements
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arXiv
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| Autori principali: | , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| _version_ | 1866914917691424768 |
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| author | Callebaut, Gilles Van Mulders, Jarne Cox, Bert Van der Perre, Liesbet De Strycker, Lieven Rottenberg, François |
| author_facet | Callebaut, Gilles Van Mulders, Jarne Cox, Bert Van der Perre, Liesbet De Strycker, Lieven Rottenberg, François |
| contents | Wireless power transfer (WPT) has garnered increasing attention due to its potential to eliminate device-side batteries. With the advent of (distributed) multiple-input multiple-output (MIMO), radio frequency (RF) WPT has become feasible over extended distances. This study focuses on optimizing the energy delivery to Energy Receivers (ERs) while minimizing system total transmit power. Rather than continuous power delivery, we optimize the precoding weights within specified time slots to meet the energy requirements of the ERs. Both unsynchronized (non-coherent) and synchronized (coherent) systems are evaluated. Our analysis indicates that augmenting the number of antennas and transitioning from an unsynchronized to asynchronized full phase-coherent system substantially enhances system performance. This optimization ensures precise energy delivery, reducing overshoots and overall energy consumption. Experimental validation was conducted using a testbed with84 antennas, validating the trends observed in our numerical simulations. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2408_10611 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | How to Perform Distributed Precoding to Wirelessly Power Shelf Labels: Signal Processing and Measurements Callebaut, Gilles Van Mulders, Jarne Cox, Bert Van der Perre, Liesbet De Strycker, Lieven Rottenberg, François Signal Processing Wireless power transfer (WPT) has garnered increasing attention due to its potential to eliminate device-side batteries. With the advent of (distributed) multiple-input multiple-output (MIMO), radio frequency (RF) WPT has become feasible over extended distances. This study focuses on optimizing the energy delivery to Energy Receivers (ERs) while minimizing system total transmit power. Rather than continuous power delivery, we optimize the precoding weights within specified time slots to meet the energy requirements of the ERs. Both unsynchronized (non-coherent) and synchronized (coherent) systems are evaluated. Our analysis indicates that augmenting the number of antennas and transitioning from an unsynchronized to asynchronized full phase-coherent system substantially enhances system performance. This optimization ensures precise energy delivery, reducing overshoots and overall energy consumption. Experimental validation was conducted using a testbed with84 antennas, validating the trends observed in our numerical simulations. |
| title | How to Perform Distributed Precoding to Wirelessly Power Shelf Labels: Signal Processing and Measurements |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2408.10611 |