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 w...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2024-02-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2024034/ |
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| _version_ | 1841540063317458944 |
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| author | Xiaojin DING Yehui XU Wen BAO Gengxin ZHANG |
| author_facet | Xiaojin DING Yehui XU Wen BAO Gengxin ZHANG |
| author_sort | Xiaojin DING |
| collection | DOAJ |
| description | 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 single-node cognitive method, the designed multi-satellite cooperative spectrum cognitive strategy can obtain a better cognitive performance.Moreover, comparing with the existing model, the model utilized in the designed strategy can effectively achieve 96.69% and 93.32% lower number of parameters and required floating point operations per second, whilst maintaining the performance. |
| format | Article |
| id | doaj-art-a8f9146698894ceb8dddb6c12811d520 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2024-02-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-a8f9146698894ceb8dddb6c12811d5202025-01-14T06:22:04ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2024-02-01459010559383203Study on multi-satellite cooperative spectrum cognitive method integrating Stackelberg game and federated learningXiaojin DINGYehui XUWen BAOGengxin ZHANGTo 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 single-node cognitive method, the designed multi-satellite cooperative spectrum cognitive strategy can obtain a better cognitive performance.Moreover, comparing with the existing model, the model utilized in the designed strategy can effectively achieve 96.69% and 93.32% lower number of parameters and required floating point operations per second, whilst maintaining the performance.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2024034/satellite spectrum cognitivemulti-satellite cooperationStackelberg gamefederated learning |
| spellingShingle | Xiaojin DING Yehui XU Wen BAO Gengxin ZHANG Study on multi-satellite cooperative spectrum cognitive method integrating Stackelberg game and federated learning Tongxin xuebao satellite spectrum cognitive multi-satellite cooperation Stackelberg game federated learning |
| title | Study on multi-satellite cooperative spectrum cognitive method integrating Stackelberg game and federated learning |
| title_full | Study on multi-satellite cooperative spectrum cognitive method integrating Stackelberg game and federated learning |
| title_fullStr | Study on multi-satellite cooperative spectrum cognitive method integrating Stackelberg game and federated learning |
| title_full_unstemmed | Study on multi-satellite cooperative spectrum cognitive method integrating Stackelberg game and federated learning |
| title_short | Study on multi-satellite cooperative spectrum cognitive method integrating Stackelberg game and federated learning |
| title_sort | study on multi satellite cooperative spectrum cognitive method integrating stackelberg game and federated learning |
| topic | satellite spectrum cognitive multi-satellite cooperation Stackelberg game federated learning |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2024034/ |
| work_keys_str_mv | AT xiaojinding studyonmultisatellitecooperativespectrumcognitivemethodintegratingstackelberggameandfederatedlearning AT yehuixu studyonmultisatellitecooperativespectrumcognitivemethodintegratingstackelberggameandfederatedlearning AT wenbao studyonmultisatellitecooperativespectrumcognitivemethodintegratingstackelberggameandfederatedlearning AT gengxinzhang studyonmultisatellitecooperativespectrumcognitivemethodintegratingstackelberggameandfederatedlearning |