Channel information feedback method, channel information recovery method, and apparatus

A method for channel information recovery, applied to a network device, comprising:

• sending a first reference signal to a terminal device;
• receiving first channel information from the terminal device, wherein the first channel information indicates a sparse channel state matrix, the sparse channel state matrix is obtained by performing sampling on at least one dimension of a first channel state matrix by using a first sparse pattern, and the first channel state matrix is determined based on the first reference signal;
• and
• processing the sparse channel state matrix through a neural network, to obtain a second channel state matrix, wherein the second channel state matrix is a recovery value of the first channel state matrix, and the neural network is trained by using data obtained by performing sampling based on the first sparse pattern.

An apparatus comprising at least one processor and at least one memory coupled to the at least one processor, wherein the at least one memory stores programming instructions for execution by the at least one processor to cause the apparatus to perform operations comprising:

• sending a first reference signal to a terminal device;
• receiving first channel information from the terminal device, wherein the first channel information indicates a sparse channel state matrix, the sparse channel state matrix is obtained by performing sampling on at least one dimension of a first channel state matrix by using a first sparse pattern, and the first channel state matrix is determined based on the first reference signal;
• and
• processing the sparse channel state matrix through a neural network, to obtain a second channel state matrix, wherein the second channel state matrix is a recovery value of the first channel state matrix, and the neural network is trained by using data obtained by performing sampling based on the first sparse pattern.