The invention relates to the technical field of
wireless communication, in particular to a
network communication method and
system for the low-altitude field, and the method comprises the following steps: S1, analyzing historical communication data through building a
linear regression model, predicting a future communication demand, and building a dynamic scene model through a prediction result; s2, establishing a mobile
base station and an intelligent antenna, optimizing
base station parameters in real time through a
deep learning algorithm, and combining network
slicing and
frequency spectrum sharing technologies; s3, developing a lightweight
hybrid protocol, dynamically optimizing protocol parameters by using AI, and introducing an
encryption technology and a block chain technology; s4, constructing a
virtual test environment and an automatic tool, simulating a real scene through a digital twinning technology, and quickly verifying and optimizing the performance of the communication
system; and S5, deploying an AI-driven intelligent
monitoring system to realize adaptive maintenance. By optimizing
resource allocation, the communication efficiency and safety are improved, and it is ensured that high-quality service can be stably provided in a complex and changeable low-altitude environment.