{"title":"基于预编码的GEO-LEO卫星网络干扰抑制波束管理","authors":"Xing Xin, Gaofeng Cui, Weidong Wang","doi":"10.1002/sat.70000","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>Spectrum scarcity can be effectively mitigated through spectrum sharing between LEO and GEO satellites. However, severe interbeam interference may be caused by the dense distribution and wide coverage of multilayer satellite systems. Furthermore, the uneven distribution of traffic demand generated by users may lead to load imbalance among satellites, by which service fairness may be degraded. In this paper, beam management and precoding design are investigated in GEO-LEO coexistence networks to mitigate interbeam interference and improve service fairness in multi-layer satellite systems. To solve the load imbalance problem, a serving satellite allocation algorithm based on game matching theory is proposed. Moreover, a heuristic-based joint beam management and precoding algorithm is proposed to mitigate interference and enhance service fairness. Simulation results show the effectiveness of the proposed algorithms.</p>\n </div>","PeriodicalId":50289,"journal":{"name":"International Journal of Satellite Communications and Networking","volume":"43 6","pages":"487-499"},"PeriodicalIF":1.6000,"publicationDate":"2025-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Beam Management for Interference Mitigation in GEO-LEO Satellite Networks With Precoding\",\"authors\":\"Xing Xin, Gaofeng Cui, Weidong Wang\",\"doi\":\"10.1002/sat.70000\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n <p>Spectrum scarcity can be effectively mitigated through spectrum sharing between LEO and GEO satellites. However, severe interbeam interference may be caused by the dense distribution and wide coverage of multilayer satellite systems. Furthermore, the uneven distribution of traffic demand generated by users may lead to load imbalance among satellites, by which service fairness may be degraded. In this paper, beam management and precoding design are investigated in GEO-LEO coexistence networks to mitigate interbeam interference and improve service fairness in multi-layer satellite systems. To solve the load imbalance problem, a serving satellite allocation algorithm based on game matching theory is proposed. Moreover, a heuristic-based joint beam management and precoding algorithm is proposed to mitigate interference and enhance service fairness. Simulation results show the effectiveness of the proposed algorithms.</p>\\n </div>\",\"PeriodicalId\":50289,\"journal\":{\"name\":\"International Journal of Satellite Communications and Networking\",\"volume\":\"43 6\",\"pages\":\"487-499\"},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2025-06-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Satellite Communications and Networking\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/sat.70000\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENGINEERING, AEROSPACE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Satellite Communications and Networking","FirstCategoryId":"94","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/sat.70000","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, AEROSPACE","Score":null,"Total":0}
Beam Management for Interference Mitigation in GEO-LEO Satellite Networks With Precoding
Spectrum scarcity can be effectively mitigated through spectrum sharing between LEO and GEO satellites. However, severe interbeam interference may be caused by the dense distribution and wide coverage of multilayer satellite systems. Furthermore, the uneven distribution of traffic demand generated by users may lead to load imbalance among satellites, by which service fairness may be degraded. In this paper, beam management and precoding design are investigated in GEO-LEO coexistence networks to mitigate interbeam interference and improve service fairness in multi-layer satellite systems. To solve the load imbalance problem, a serving satellite allocation algorithm based on game matching theory is proposed. Moreover, a heuristic-based joint beam management and precoding algorithm is proposed to mitigate interference and enhance service fairness. Simulation results show the effectiveness of the proposed algorithms.
期刊介绍:
The journal covers all aspects of the theory, practice and operation of satellite systems and networks. Papers must address some aspect of satellite systems or their applications. Topics covered include:
-Satellite communication and broadcast systems-
Satellite navigation and positioning systems-
Satellite networks and networking-
Hybrid systems-
Equipment-earth stations/terminals, payloads, launchers and components-
Description of new systems, operations and trials-
Planning and operations-
Performance analysis-
Interoperability-
Propagation and interference-
Enabling technologies-coding/modulation/signal processing, etc.-
Mobile/Broadcast/Navigation/fixed services-
Service provision, marketing, economics and business aspects-
Standards and regulation-
Network protocols