Abstract: In order to achieve transmission rates of up to gigabits per second (Gbps), the fifth-generation mobile communication system (5G) requires wider transmission bandwidth and higher modulation systems. However, these make the linearity requirement of the RF power amplifier more serious. Therefore, the linearization of the amplifier is imperative. In this paper, a digital predistortion based on the real-valued temporal convolutional networks (RVTCN) model is constructed. The RVTCN model uses dilated causal convolution (DCC) to extract current time series information, stores the memory information in the residual block (RB), and continuously acquires the timing features and saves them in the network. In this paper, the 100 MHz bandwidth of the 5G NR signal is used to verify the predistortion linearization experiment of the 3. 5 GHz Doherty amplifier. Experimental results show that the proposed RVTCN model has the ability to model the dynamic nonlinear behavior of RF power amplifiers, of which normalized mean squared error can reach -40 dB. The adjacent channel power ratio (ACPR) of the test amplifier with the digital predistortion built based on the RVTCN can be improved by 19. 5 dB.