用数字孪生精准还原真实信道，提升基站预编码精度。
Digital Twin Enabled Site Specific Channel Precoding: Over the Air CIR Inference
- 构建多步优化的信道数字孪生模型，结合射线追踪与AI调优。
- 实测显示孪生信道与真实信道差距显著缩小，逼近实际环境。
- 适合5G/6G智能无线系统设计者，尤其关注物理层建模的团队。
本文研究如何通过精确构建的信道数字孪生（Channel Twin）模型，获取真实物理环境下的信道状态信息（CSI），从而设计出可靠、智能且环境感知的预编码方案。提出一种精细化的多步信道孪生设计流程：先通过射线追踪（RT）仿真生成初始模型，再利用人工智能（AI）算法对信道参数进行微调，显著缩小实际信道与数字孪生生成信道之间的差距。仿真结果表明，该方法在真实环境感知的信道建模方面具有显著有效性，可实现接近实际环境的高精度信道状态信息推断。
原文摘要 · Abstract (English)
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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