Demo Abstract: Predictive Radio Environment for Digital Twin Communication Platform via Enhanced Sensing.

With the accelerated development of digitalization and intelligentization of communications, sixth generation (6G) network is envisioned to support digital twin (DT) for intelligent network autonomy. However, higher carrier frequencies, more complex technologies, and diverse scenarios lead to dynamic radio environment, which makes 6G network intractable to design and optimize. In this demonstration, we propose a platform architecture and implementation via enhanced sensing to achieve radio environment prediction for 6G digital twin communication. The platform consists of three modules. First, the environmental information is captured by environment sensing module, and then the radio propagation path can be calculated by radio propagation prediction module. At last, the channel impulse response (CIR) is calculated and visualized by data processing and visualization module. In a nutshell, this platform is promising to realize the prediction of the radio environment to improve the adaptability of the 6G network in environmental changes from bottom to top.