… Machine learning assisted efficient beam training and … training and channel estimation for
the reconfigurable intelligent … sparse adaptive cascade channel estimation method based on …

… of AI in channel estimation, signal detection, passive … with imperfect cascaded channels
[ J ]. IEEE Transactions on … A deep learning based modeling of reconfigurable intelligent …

… IRS sys tems can be reconfigured dynamically to adapt to changing … This compensation
is crucial for accurate signal detection … In summary, channel estimation in MIMO systems is …

… The architecture supports block-based integral image computation to improve … reconfigurable
so that it enables the sub-window adaptive cascade classification, which greatly improves …

… based on channel state infor-mation known, and IRS is usually passive relay, with high pilot
overhead and challenging channel estimation. … 与传统方法相比,深度学习(Deep Learning, DL)…

… communication system assisted by Reconfigurable Intelligent Surfaces (RIS). … complexity
and channel estimation performance. … surfaces with compressive sensing and deep learning[J]. …

… using cascaded neural network with transfer learning[J]. … Besides, in next-generation
dynamically reconfigurable optical … multi-channel parallel OPM scheme based on deep learning …

… In [3], the robustness, reconfigurable control allocation, … by taking advantage of the cascade
structure of HFV dynamics. … is crucial for the adaptive controller and useful machine learning …

… deep neural network)来预测 最优的IRS 相位配置和IRS 元件数目.文献[58]首 先通过传统算法
得到最大化SR 的最优IRS 相位配 置和BS 端BF 矢量,并将最优值作为对应CSI 输 入的标签来训练…

… of the deep neural network in the past 70 years, the mainstream deep learning model and …
idea, optimization direction and learning strategy of deep neural network based on FPGA are …