{"title":"基于免疫遗传算法的北斗卫星导航星间链路功率带宽联合分配方法","authors":"Rui Xue, Cheng Zhao, Huaiyu Tang","doi":"10.1145/3390525.3390530","DOIUrl":null,"url":null,"abstract":"Constructing the navigation constellation with inter-satellite links has become one of the important development trends for the Beidou navigation satellite system. Power and bandwidth are limited, but precious resources are on-board. How to reasonably distribute the two resources among ISLs to attain high channel capacity while considering both energy and operation efficiencies frequently catches the scholars' attention. Considering the insufficient global optimization ability of the greedy algorithm, which leads to a limited energy efficiency performance improvement, an allocation method based on immune genetic algorithm is proposed. This method uses a selection, crossover, and mutation structure to achieve a global search. It also improves the algorithm's convergence speed through an immune structure and achieves the improvement of the system energy efficiency. Simulation results show that the proposed method has achieved a better energy efficiency than the greedy algorithm in MEO scenarios with large service requirements and in GEO scenarios with a large number of links. The total system power consumption has decreased.","PeriodicalId":201179,"journal":{"name":"Proceedings of the 2020 8th International Conference on Communications and Broadband Networking","volume":"47 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Joint Power and Bandwidth Allocation Method Based on Immune Genetic Algorithm for Inter-satellite Links in Beidou Navigation Satellite System\",\"authors\":\"Rui Xue, Cheng Zhao, Huaiyu Tang\",\"doi\":\"10.1145/3390525.3390530\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Constructing the navigation constellation with inter-satellite links has become one of the important development trends for the Beidou navigation satellite system. Power and bandwidth are limited, but precious resources are on-board. How to reasonably distribute the two resources among ISLs to attain high channel capacity while considering both energy and operation efficiencies frequently catches the scholars' attention. Considering the insufficient global optimization ability of the greedy algorithm, which leads to a limited energy efficiency performance improvement, an allocation method based on immune genetic algorithm is proposed. This method uses a selection, crossover, and mutation structure to achieve a global search. It also improves the algorithm's convergence speed through an immune structure and achieves the improvement of the system energy efficiency. Simulation results show that the proposed method has achieved a better energy efficiency than the greedy algorithm in MEO scenarios with large service requirements and in GEO scenarios with a large number of links. The total system power consumption has decreased.\",\"PeriodicalId\":201179,\"journal\":{\"name\":\"Proceedings of the 2020 8th International Conference on Communications and Broadband Networking\",\"volume\":\"47 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-04-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2020 8th International Conference on Communications and Broadband Networking\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3390525.3390530\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2020 8th International Conference on Communications and Broadband Networking","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3390525.3390530","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Joint Power and Bandwidth Allocation Method Based on Immune Genetic Algorithm for Inter-satellite Links in Beidou Navigation Satellite System
Constructing the navigation constellation with inter-satellite links has become one of the important development trends for the Beidou navigation satellite system. Power and bandwidth are limited, but precious resources are on-board. How to reasonably distribute the two resources among ISLs to attain high channel capacity while considering both energy and operation efficiencies frequently catches the scholars' attention. Considering the insufficient global optimization ability of the greedy algorithm, which leads to a limited energy efficiency performance improvement, an allocation method based on immune genetic algorithm is proposed. This method uses a selection, crossover, and mutation structure to achieve a global search. It also improves the algorithm's convergence speed through an immune structure and achieves the improvement of the system energy efficiency. Simulation results show that the proposed method has achieved a better energy efficiency than the greedy algorithm in MEO scenarios with large service requirements and in GEO scenarios with a large number of links. The total system power consumption has decreased.