Research on Deep Fusion Model of Optical Communication Channel Based on BP Neural Network

In the wireless optical communication network, the overlap of multiple signals seriously affects the transmission performance of the optical communication signal, which is one of the most urgent problems to be solved by the transmitter of the wireless optical communication network. With the rapid development of Internet technology, multi-carrier modulation technology has been widely used in signal modulation in wireless optical communication networks due to its anti-multipath fading characteristics and high spectral efficiency. This paper proposes a deep fusion method for optical communication channels based on multi-carrier modulation. This method combines OFDM technology, DCHP protocol and three-layer BP neural network to achieve low energy consumption, high-speed transmission and deep integration of optical communication channels. Establish a layered routing protocol to realize the deep integration of optical communication channels. The simulation results show that this method can reduce the energy consumption and transmission delay of optical communication signals.