Yuhao Chen

Yuhao Chen

M.S. student at Tsinghua University

RIS-Assisted Communication Prototype (28 GHz) @ Tsinghua

This prototype integrates a 2304-element RIS and an AI-based end-to-end architecture.

overview

AI-based end-to-end architecture

We break the traditional paradigm which divide the communication system into several modules. In order to realize a better performance, we train an end-to-end system off-line and deploy it on the FPGA.

end-to-end

The end-to-end system demonstrates several interesting results, including the unconventional constellation diagrams. The constellation diagrams vary with different training targets (e.g., minimum BER, mininum SER, etc.). This phenomenon reveals the potential of enhancing the performance of communication systems with AI.

constellation

Algorithm verification & Field test

We utilize this prototype to verify the performance of the proposed analytical beam training framework and the proposed FDF-based beam training framework. In addition, we verify the performance of the proposed dynamic codebook.

codebook result

We also conduct field test based on the prototype. The results were reported at Global 6G Development Conference, 2022.

result

  1. M. Cui, Z. Wu, Y. Chen, S. Xu, F. Yang, and L. Dai, “Demo: Low-power communications based on RIS and AI for 6G,” in Proceedings of 2022 IEEE International Conference on Communications Workshops (IEEE ICC’22, Demo Session), Gangnam-gu, Seoul, South Korea, May 2022. (IEEE ICC 2022 Outstanding Demo Award) (Paper)

  2. Z. Zhang, Y. Chen, Q, Yu, and L. Dai, “IRS Architecture and Hardware Design,” in Intelligent Surfaces Empowered 6G Wireless Network, Chapter 2, Wiley-IEEE Press, 2023. (Book)