Digital Twin Enabled Site Specific Channel Precoding: Over the Air CIR Inference
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arXiv
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| Hauptverfasser: | , , , , , |
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| Format: | Preprint |
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2025
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| _version_ | 1866911017832808448 |
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| author | Haider, Majumder Ahmed, Imtiaz Hassan, Zoheb O'Shea, Timothy J. Liu, Lingjia Rawat, Danda B. |
| author_facet | Haider, Majumder Ahmed, Imtiaz Hassan, Zoheb O'Shea, Timothy J. Liu, Lingjia Rawat, Danda B. |
| contents | This paper investigates the significance of designing a reliable, intelligent, and true physical environment-aware precoding scheme by leveraging an accurately designed channel twin model to obtain realistic channel state information (CSI) for cellular communication systems. Specifically, we propose a fine-tuned multi-step channel twin design process that can render CSI very close to the CSI of the actual environment. After generating a precise CSI, we execute precoding using the obtained CSI at the transmitter end. We demonstrate a two-step parameters' tuning approach to design channel twin by ray tracing (RT) emulation, then further fine-tuning of CSI by employing an artificial intelligence (AI) based algorithm can significantly reduce the gap between actual CSI and the fine-tuned digital twin (DT) rendered CSI. The simulation results show the effectiveness of the proposed novel approach in designing a true physical environment-aware channel twin model. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2501_16504 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Digital Twin Enabled Site Specific Channel Precoding: Over the Air CIR Inference Haider, Majumder Ahmed, Imtiaz Hassan, Zoheb O'Shea, Timothy J. Liu, Lingjia Rawat, Danda B. Signal Processing Artificial Intelligence This paper investigates the significance of designing a reliable, intelligent, and true physical environment-aware precoding scheme by leveraging an accurately designed channel twin model to obtain realistic channel state information (CSI) for cellular communication systems. Specifically, we propose a fine-tuned multi-step channel twin design process that can render CSI very close to the CSI of the actual environment. After generating a precise CSI, we execute precoding using the obtained CSI at the transmitter end. We demonstrate a two-step parameters' tuning approach to design channel twin by ray tracing (RT) emulation, then further fine-tuning of CSI by employing an artificial intelligence (AI) based algorithm can significantly reduce the gap between actual CSI and the fine-tuned digital twin (DT) rendered CSI. The simulation results show the effectiveness of the proposed novel approach in designing a true physical environment-aware channel twin model. |
| title | Digital Twin Enabled Site Specific Channel Precoding: Over the Air CIR Inference |
| topic | Signal Processing Artificial Intelligence |
| url | https://arxiv.org/abs/2501.16504 |