Provided are a data processing method and apparatus. The method comprises: generating first channel data by using a channel generator, wherein the channel generator belongs to a generative adversarial network, the generative adversarial network further comprises a channel discriminator, and the channel discriminator is used for discriminating the first channel data according to real channel data. Firstly, the channel generator provided by the present application belongs to an artificial intelligence (AI) model, and the process of generating the channel data by the channel generator can be understood as the process of channel modeling on the basis of AI. Therefore, the present application can well describe various different complex channel environments without being limited to a certain specific channel environment. Furthermore, the channel generator provided by the present application belongs to a generator in the generative adversarial network. The generative adversarial network enables the channel generator to generate a large amount of pseudo channel data having extremely high similarity with the real channel data by using a small amount of real channel data on the basis of the idea of the game, so that the cost required for acquiring and collecting the real channel data can be reduced.