UAV heterogeneous network multi-dimensional resource dynamic management method
A heterogeneous network and dynamic management technology, applied in the direction of biological neural network model, neural architecture, combustion engine, etc., can solve the unsuitable UAV heterogeneous network scenarios, it is difficult to meet the delay-sensitive business transmission requirements, reduce network performance or user To improve accuracy and generalization, realize local performance and global performance, and manage efficiently
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[0019] see figure 1 . According to the present invention, in a given unmanned aerial vehicle UAV heterogeneous network scenario, a centralized convergence layer learning model of ground base stations and a distributed execution layer learning model of UAV agents are used to form a federated learning architecture for executing resource management strategies; In the centralized aggregation layer learning model, the centralized aggregation layer builds a multi-agent reinforcement learning model based on the UAV heterogeneous network scenario and is responsible for initializing the model parameters; in the UAV agent distributed execution layer learning model, the distributed execution layer uses multi-agent The body reinforcement learning model adjusts the local network strategy. After each UAV perceives the local network state by adding an intelligent body module, it minimizes the loss function and outputs spectrum sharing and power control according to the resource management al...
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