A Neural Receiver for 5G NR Multi-user MIMO

Sebastian Cammerer,Fayçal Aït Aoudia,Jakob Hoydis, Andreas Oeldemann, Andreas Roessler, Timo Mayer,Alexander Keller

GLOBECOM (Workshops)（2023）

Cited 1|Views23

Key words

Multiple-input Multiple-output,Multi-user Multiple-input Multiple-output,Neural Network,Mean Square Error,Channel Estimation,Minimum Mean Square Error,Graph Neural Networks,Orthogonal Frequency Division Multiplexing,Minimum Mean Square,Channel Correlation,Convolutional Neural Network,Likelihood Ratio Test,Internet Of Things,Additive Noise,Linear Interpolation,Multilayer Perceptron,Stochastic Gradient Descent,Channel Model,Physical Layer,Delay Spread,Block Error Rate,Low-density Parity-check,Resource Elements,Subcarrier Spacing,Separable Convolution,Doppler Shift,Perfect Channel State Information,Quadrature Amplitude Modulation,Binary Cross Entropy

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