Intelligent scheduling method for mobile communication resources of low-orbit satellites
A low-orbit satellite and mobile communication technology, applied in neural learning methods, radio transmission systems, biological neural network models, etc., can solve the load imbalance, the impact of low-orbit satellite mobile communication service performance and resource utilization efficiency, and cannot be fully adapted Complex and dynamic resource allocation and other problems, to achieve the effect of solving large-scale, improving training speed and performance
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[0049] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention.
[0050] refer to figure 1 , a smart scheduling method for low-orbit satellite mobile communication resources. This method is a design framework for a resource scheduling algorithm based on a deep learning network. The deep learning network is trained through a large number of prior low-orbit satellite data, and the solution is solved through training iterations. The optimal parameters of this network under the minimum mean square error. Finally, input the data that needs to be predicted by the low-orbit satellites, and use the deep learning network for feature extraction and fusion to realize intelligent scheduling of mobile communication resources for low-orbit satel...
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