Noise Modulation over Wireless Energy Transfer: JEIH-Noise Mod
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arXiv
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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866918059768283136 |
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| author | Yapici, Erkin Tek, Yusuf Islam Pihtili, Mehmet Ertug Ilter, M. Cagri Basar, Ertugrul |
| author_facet | Yapici, Erkin Tek, Yusuf Islam Pihtili, Mehmet Ertug Ilter, M. Cagri Basar, Ertugrul |
| contents | This letter presents an innovative energy harvesting (EH) and communication scheme for Internet of Things (IoT) devices by utilizing the emerging noise modulation (Noise-Mod) technique. Our proposed approach embeds information into the mean value of real Gaussian noise samples, enabling simultaneous power transfer and data transmission. We analyze our system under the Rician fading channels with path loss and derive the bit error probability (BEP) expression. Our simulation results demonstrate that the proposed scheme outperforms conventional modulation schemes in terms of energy harvesting capability across various channel conditions. This scheme offers a novel solution by directly embedding data into the noise-modulated signal to enable information decoding through mean-based detection. Furthermore, it increases energy harvesting capability thanks to the utilized Gaussian waveform. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2502_17074 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Noise Modulation over Wireless Energy Transfer: JEIH-Noise Mod Yapici, Erkin Tek, Yusuf Islam Pihtili, Mehmet Ertug Ilter, M. Cagri Basar, Ertugrul Signal Processing This letter presents an innovative energy harvesting (EH) and communication scheme for Internet of Things (IoT) devices by utilizing the emerging noise modulation (Noise-Mod) technique. Our proposed approach embeds information into the mean value of real Gaussian noise samples, enabling simultaneous power transfer and data transmission. We analyze our system under the Rician fading channels with path loss and derive the bit error probability (BEP) expression. Our simulation results demonstrate that the proposed scheme outperforms conventional modulation schemes in terms of energy harvesting capability across various channel conditions. This scheme offers a novel solution by directly embedding data into the noise-modulated signal to enable information decoding through mean-based detection. Furthermore, it increases energy harvesting capability thanks to the utilized Gaussian waveform. |
| title | Noise Modulation over Wireless Energy Transfer: JEIH-Noise Mod |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2502.17074 |