The invention discloses a quantization and
inverse quantization method in large-scale
MIMO channel state information feedback. The method comprises the following steps: firstly, acquiring a channel matrix at a user side, and performing two-dimensional DFT on the channel matrix, so that the channel matrix in a space-
frequency domain is transformed into a channel matrix sparse in an angle-time delaydomain; secondly, constructing a model Quantized-CsiNet which is subjected to quantized
channel feedback and reconstruction; thirdly, training the quantized
channel feedback and reconstruction model;secondly, performing two-dimensional inverse DFT on the output reconstructed channel matrix, and recovering a channel matrix reconstruction value of an original space-
frequency domain; and finally, applying the trained Quantized-CsiNet model to
channel state information feedback in each actual scene, and reconstructing an original channel matrix. According to the method, the quantization module and the
inverse quantization module are added into the CsiNet, so that the actually transmissible
channel state information bit
stream can be obtained, the feedback overhead of large-scale
MIMO channelinformation is reduced, the reconstruction precision is improved, and particularly, the method has excellent robustness for quantization errors.