Interference Signal Reduction Method Based on Interference Recognition in Shared Frequency Band

In the case of an interference signal occurring simultaneously in a time-frequency band, etc., only the magnitude of the interference signal can be reduced by accurately identifying the information and channel state of the interference signal, but the current interference reduction technology method is difficult to accurately align (decompose) the spatial characteristics of the interference signal and the service signal when the interference signal and the service signal are mixed in the time-frequency band. In this paper, we will propose an algorithm and method that enables maximum transmission efficiency even in shared frequency bands with interference signals by constructing an optimal interference reduction algorithm based on the analyzed interference signal information and a method that accurately identifies information of the interference source when interference occurs in the same time-frequency band in communication systems such as 5G.