基于智能射线追踪的信道计算与半实物仿真

      Intelligent ray-tracing-based simulation and emulation of channels

      • 摘要: 智能交通等场景的应用依赖于移动通信系统的支持,而移动通信系统的性能测试则离不开半实物信道仿真与验证。随着大规模多输入多输出 (multiple-input multiple-output, MIMO)技术的广泛应用以及对信道建模精度要求的不断提高,半实物信道仿真的时间成本大大增加,且当前的信道模拟支持的信道模型相对有限,无法满足各种特定场景的需求。针对这些不足,本文提出了一种基于智能射线追踪(ray-tracing, RT)的信道计算与半实物仿真的方法,将高精度RT仿真和超分辨率(super-resolution, SR)加速算法融合,解决了基于电子地图的RT信道建模法精度、效率和算力成本无法兼顾的难题。本方法可支持智能交通等高价值应用在复杂场景下进行信道高效计算与半实物仿真测试,进而推动无线移动通信技术的发展,带来显著的社会和经济效益。

         

        Abstract: The application of intelligent transportation and other scenarios heavily relies on the support of mobile communication systems, and the performance testing of these systems cannot be achieved without emulation verification. With the widespread adoption of massive multiple-input multiple-output (MIMO) technology and the increasing demand for channel modeling accuracy, the time cost of channel emulation has significantly increased. Furthermore, the currently available channel emulators have limited support for channel models, which hinders their ability to meet the requirements of various specific scenarios. To address these limitations, this paper proposes a method based on intelligent ray-tracing (RT) for channel computation and emulation. This method integrates high-precision RT simulation with an artificial intelligence-based super-resolution(SR) algorithm, resolving the trade-off between accuracy, efficiency, and computational cost in RT channel modeling based on electronic maps. This method supports efficient channel computation and emulation testing for high-value applications like intelligent transportation in complex scenarios, thereby driving the advancement of wireless mobile communication technology and yielding significant social and economic benefits.

         

      /

      返回文章
      返回