mmDiff provides an end-to-end differentiable ray-tracing framework that uses a directional scattering approximation to make mmWave simulation robust to noise in reconstructed geometry while supporting material calibration and channel prediction.
On the efficient beam-forming training for 60ghz wireless personal area networks.IEEE Transactions on Wire- less Communications, 12(2):504–515, 2012
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mmDiff: A Noise-Robust Differentiable Ray-Tracing Framework for mmWave Scene Calibration and Channel Prediction
mmDiff provides an end-to-end differentiable ray-tracing framework that uses a directional scattering approximation to make mmWave simulation robust to noise in reconstructed geometry while supporting material calibration and channel prediction.