Digital Twin Enabled Site Specific Channel Precoding: Over the Air CIR Inference

• URL: http://arxiv.org/abs/2501.16504v1
• Date: Mon, 27 Jan 2025 21:10:07 GMT
• Title: Digital Twin Enabled Site Specific Channel Precoding: Over the Air CIR Inference
• Authors: Majumder Haider, Imtiaz Ahmed, Zoheb Hassan, Timothy J. O'Shea, Lingjia Liu, Danda B. Rawat,
• Abstract summary: We propose a fine-tuned multi-step channel twin design process that can render CSI very close to the CSI of the actual environment. We execute precoding using the obtained CSI at the transmitter end.
• Score: 25.427090541716378
• License:
• Abstract: 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.

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