The application discloses a
channel state information feedback method based on a multi-scale physical
perception puzzle mechanism and applied to a
frequency division duplex large-scale
MIMO system. A two-dimensional
discrete Fourier transform is used to convert a space-
frequency domain channel matrix into an angle-
delay domain
sparse matrix and complete preprocessing; a PAM-Net network containing a
main branch reconstruction
branch and a self-supervised auxiliary
branch is constructed, a multi-scale physical
perception puzzle mechanism and a physical guided anisotropic dynamic penalty strategy are introduced; a joint
loss function is used for end-to-end offline training, and after training, the auxiliary
branch is decoupled and stripped, and only the
main branch is reserved to perform online compression and reconstruction. The application has the beneficial effects that: under the premise of not increasing the online
inference complexity, the multi-scale physical feature
perception ability of the channel and the CSI reconstruction accuracy are significantly improved, the feedback overhead is effectively reduced, and the application is suitable for a low-latency and high-reliable communication scene of a 6G super large-scale
antenna array.