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- W3135509084 abstract "The reconfigurable intelligent surface (RIS) is considered as a promising new technology for reconfiguring wireless communication environments. To acquire the channel information accurately and efficiently, we only turn on a fraction of all the RIS elements, formulate a sub-sampled RIS channel, and design a deep learning based scheme to extrapolate the full channel information from the partial one. Specifically, inspired by the ordinary differential equation (ODE), we set up connections between different data layers in a convolutional neural network (CNN) and improve its structure. Simulation results are provided to demonstrate that our proposed ODE-based CNN structure can achieve faster convergence speed and better solution than the standard CNN." @default.
- W3135509084 created "2021-03-15" @default.
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- W3135509084 date "2021-06-01" @default.
- W3135509084 modified "2023-10-14" @default.
- W3135509084 title "Ordinary Differential Equation-Based CNN for Channel Extrapolation Over RIS-Assisted Communication" @default.
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- W3135509084 doi "https://doi.org/10.1109/lcomm.2021.3064596" @default.
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