Research Article
Improved ADMM Signal Detection Algorithm for Multi-layer RIS Transmitter
@INPROCEEDINGS{10.1007/978-3-031-86203-8_22, author={Zhiwen Bai and Xinbo Xu and Shuyi Chen and Weixiao Meng and Sebasti\^{a}n E. Godoy and Gabriel Saavedra}, title={Improved ADMM Signal Detection Algorithm for Multi-layer RIS Transmitter}, proceedings={Wireless and Satellite Systems. 14th EAI International Conference, WiSATS 2024, Harbin, China, August 23--25, 2024, Proceedings, Part II}, proceedings_a={WISATS PART 2}, year={2025}, month={3}, keywords={Reconfigurable Intelligence Surface MIMO Detection Deep Learning Neural Network Alternating Direction Method of Multipliers}, doi={10.1007/978-3-031-86203-8_22} }- Zhiwen Bai
Xinbo Xu
Shuyi Chen
Weixiao Meng
Sebastián E. Godoy
Gabriel Saavedra
Year: 2025
Improved ADMM Signal Detection Algorithm for Multi-layer RIS Transmitter
WISATS PART 2
Springer
DOI: 10.1007/978-3-031-86203-8_22
Abstract
Among numerous emerging technologies targeting future wireless communication scenarios and demands, Reconfigurable Intelligent Surface stand out as a research hotspot due to their advantages in controlling the wireless communication environment with lower cost and energy consumption. This article uses double-layer RIS to replace traditional components as multiple-in multiple-out transmitters, and utilizes the diffraction between RIS layers to achieve signal level error control encoding. Under this model, this article simplifies the Alternating Direction Method of Multipliers algorithm using the proximal gradient method, and optimizes the algorithm by introducing parameters and training with deep learning. This reduces the complexity of the algorithm to a certain extent and improves its performance.
