Simulation of ground-air integrated 5G networking adaptive anti-jamming technology

Abstract

With the development of mobile communication technology, the power system communication system is also undergoing a transformation. The construction of an integrated air-ground network with wide area coverage, flexible deployment and strong disaster tolerance will change the operation mode of mobile communication in the future. Power consumption scenarios are complex, with many types of equipment and a wide range of distribution. Massive sensors and monitoring equipment need to be deployed. Due to the constraints of difficult coordination, severe signal interference, and poor reliability, it is difficult for each control system to make breakthrough progress. In order to build a stable and reliable Efficient communication systems further promote the development of power technology. After researching the power system environment, an adaptive anti-jamming technology for 5G networking based on a deep network is proposed. First, the model is used to obtain the parameters of the wireless signal transmission channel, and then a deep neural network is used to train an adaptive frequency hopping anti-jamming model, which can adaptively select the communication frequency band according to the communication environment. Experiments have shown that this technology can quickly and effectively select a stable communication frequency band according to the interference situation of the communication environment. When the signal-to-noise ratio is close to -18dB, the bit error rate is reduced by nearly 10 times compared with the traditional method, which further improves the communication efficiency. Reliability and stability of communication