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arXiv 2012.11794cs.ITmath.IT
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Ordinary Differential Equation-based CNN for Channel Extrapolation over RIS-assisted Communication

Meng Xu, Shun Zhang, Caijun Zhong, Jianpeng Ma, Octavia A. Dobre

英文摘要:

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 cascaded CNN.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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