Generation-Agnostic Zero-Energy Devices for Sustainable Connectivity, Sensing, and Localization
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arXiv
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| Auteurs principaux: | , , , , , , , , , |
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| Format: | Preprint |
| Publié: |
2025
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| _version_ | 1866914153574170624 |
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| author | Amani, Navid Bilotti, Filiberto Dardari, Davide Errico, Raffaele D Jantti, Riku Pasolini, Gianni Phan-Huy, Dinh-Thuy Ramaccia, Davide Rance, Olivier Wymeersch, Henk |
| author_facet | Amani, Navid Bilotti, Filiberto Dardari, Davide Errico, Raffaele D Jantti, Riku Pasolini, Gianni Phan-Huy, Dinh-Thuy Ramaccia, Davide Rance, Olivier Wymeersch, Henk |
| contents | The massive scale of Internet of Things (IoT) connectivity expected in 6G networks raises unprecedented challenges in energy use, battery waste, and lifecycle sustainability. Current cellular IoT solutions remain bound to the lifetime of underlying network generations and rely on billions of disposable batteries, creating unsustainable economic and environmental costs. This article proposes generation-agnostic zero-energy devices (XG-ZEDs), a new class of backscatter based IoT devices that are battery-less, spectrum-agnostic, and future-proof across successive network generations. XG-ZEDs exploit existing ambient wireless signals for communication, sensing, and localization, transforming infrastructure and user devices into universal enablers of ultra-low-power connectivity. We review architectural classifications, communication protocols, network integration, and representative applications such as sensing, localization, and radio-SLAM, while outlining the challenges ahead. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2511_09372 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Generation-Agnostic Zero-Energy Devices for Sustainable Connectivity, Sensing, and Localization Amani, Navid Bilotti, Filiberto Dardari, Davide Errico, Raffaele D Jantti, Riku Pasolini, Gianni Phan-Huy, Dinh-Thuy Ramaccia, Davide Rance, Olivier Wymeersch, Henk Signal Processing The massive scale of Internet of Things (IoT) connectivity expected in 6G networks raises unprecedented challenges in energy use, battery waste, and lifecycle sustainability. Current cellular IoT solutions remain bound to the lifetime of underlying network generations and rely on billions of disposable batteries, creating unsustainable economic and environmental costs. This article proposes generation-agnostic zero-energy devices (XG-ZEDs), a new class of backscatter based IoT devices that are battery-less, spectrum-agnostic, and future-proof across successive network generations. XG-ZEDs exploit existing ambient wireless signals for communication, sensing, and localization, transforming infrastructure and user devices into universal enablers of ultra-low-power connectivity. We review architectural classifications, communication protocols, network integration, and representative applications such as sensing, localization, and radio-SLAM, while outlining the challenges ahead. |
| title | Generation-Agnostic Zero-Energy Devices for Sustainable Connectivity, Sensing, and Localization |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2511.09372 |