Search Results for author: Zhuoran Xiao

Found 3 papers, 0 papers with code

From Data-driven Learning to Physics-inspired Inferring: A Novel Mobile MIMO Channel Prediction Scheme Based on Neural ODE

no code implementations9 Apr 2023 Zhuoran Xiao, Zhaoyang Zhang, Zirui Chen, Zhaohui Yang, Chongwen Huang, Xiaoming Chen

Then, we design a novel physics-inspired spatial channel gradient network (SCGnet), which represents the derivative process of channel varying as a special neural network and can obtain the gradients at any relative displacement needed for the ODE solving.

Mobile MIMO Channel Prediction with ODE-RNN: a Physics-Inspired Adaptive Approach

no code implementations8 Jul 2022 Zhuoran Xiao, Zhaoyang Zhang, Zirui Chen, Zhaohui Yang, Richeng Jin

Through exploring the intrinsic correlation among a set of historical CSI instances randomly obtained in a certain communication environment, channel prediction can significantly increase CSI accuracy and save signaling overhead.

C-GRBFnet: A Physics-Inspired Generative Deep Neural Network for Channel Representation and Prediction

no code implementations5 Dec 2021 Zhuoran Xiao, Zhaoyang Zhang, Chongwen Huang, Xiaoming Chen, Caijun Zhong, Mérouane Debbah

Specifically, we first use a forward deep neural network to infer the positions of all possible images of the source reflected by the surrounding scatterers within that environment, and then use the well-known Gaussian Radial Basis Function network (GRBF) to approximate the amplitudes of all possible propagation paths.

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