HankelKANet: Lightweight Path Loss Estimation via Physics-Inspired Hankel Convolution
Accurate path loss (PL) estimation is essential for wireless network planning and optimization. This paper proposes HankelKANet, a lightweight physics-inspired network for PL estimation that structurally embeds electromagnetic propagation characteristics into the neural architecture. Built on a single residual UNet bac...
Yue Ruan, Xiao-Xiao Cheng, Yu-Nan Zhu et al.
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