Study on multi-satellite cooperative spectrum cognitive method integrating Stackelberg game and federated learning
To solve the problem of the weak spectrum-cognitive ability caused by monitoring angle,direction resolution,limited processing ability and peak power for a low-earth-orbit(LEO)satellite,a multi-satellite cooperative spectrum cognitive method integrating Stackelberg game and federated learning was proposed.Firstly,considering the available computing resource,cognitive performance,processing and transmission delay of each spectrum cognitive satellite,a cooperative-satellite selection and computing-resource allocation algorithm was built for multiple spectrum-cognitive tasks.Secondly,based on the selected satellites and the allocated computing resources,a low-complexity multi-satellite cooperative spectrum cognitive strategy was further designed,which could automatically sense the spectrum holes,and detect interference as well as identify the modulation mode.Simulation results demonstrate that compared to the sin-gle-node cognitive method,the designed multi-satellite cooperative spectrum cognitive strategy can obtain a better cogni-tive performance.Moreover,comparing with the existing model,the model utilized in the designed strategy can effec-tively achieve 96.69%and 93.32%lower number of parameters and required floating point operations per second,whilst maintaining the performance.
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