Vector parabolic equation driven CNN models for radio wave propagation in tunnels
2022 IEEE International Symposium on Antennas and Propagation and …, 2022•ieeexplore.ieee.org
The vector parabolic equation (VPE) method has proven to be a powerful numerical
technique for high-fidelity propagation modeling in long guiding structures such as tunnels.
However, applying VPE to realistic large-scale environments remains a difficult task due to
the requirement of high-performance computing resources. This paper proposes a
computationally efficient convolutional neural network model, which can compensate
numerical dispersion and provide high-fidelity received signal strength prediction based on …
technique for high-fidelity propagation modeling in long guiding structures such as tunnels.
However, applying VPE to realistic large-scale environments remains a difficult task due to
the requirement of high-performance computing resources. This paper proposes a
computationally efficient convolutional neural network model, which can compensate
numerical dispersion and provide high-fidelity received signal strength prediction based on …
The vector parabolic equation (VPE) method has proven to be a powerful numerical technique for high-fidelity propagation modeling in long guiding structures such as tunnels. However, applying VPE to realistic large-scale environments remains a difficult task due to the requirement of high-performance computing resources. This paper proposes a computationally efficient convolutional neural network model, which can compensate numerical dispersion and provide high-fidelity received signal strength prediction based on results from coarse-mesh VPE simulations. The performance of the proposed model has been validated in various tunnel cases, with significantly reduced simulation time.
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