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1. 北京理工大学信息与电子学院,北京 100081
2. 长光卫星技术股份有限公司,吉林 长春 130102
[ "刘子祎(2001-),女,北京理工大学硕士生,主要研究方向为低轨卫星通信" ]
[ "张校宁(1997-),男,硕士,现就职于长光卫星技术服务有限公司,主要研究方向为低轨卫星通信" ]
[ "费泽松(1977-),男,博士,北京理工大学信息与电子学院教授、博士生导师,主要研究方向为信道编码、5G/6G移动通信关键技术、雷达通信一体化、低轨卫星接入与组网、MIMO等" ]
网络出版日期:2023-12,
纸质出版日期:2023-12-20
移动端阅览
刘子祎, 张校宁, 费泽松. 面向低轨卫星的长时多星跳波束功率分配技术[J]. 天地一体化信息网络, 2023,4(4):38-48.
Ziyi LIU, Xiaoning ZHANG, Zesong FEI. Power Allocation Technology of Long Time Multi-Star Hopping Beam for LEO Satellite[J]. Space-integrated-ground information networks, 2023, 4(4): 38-48.
刘子祎, 张校宁, 费泽松. 面向低轨卫星的长时多星跳波束功率分配技术[J]. 天地一体化信息网络, 2023,4(4):38-48. DOI: 10.11959/j.issn.2096-8930.2023041.
Ziyi LIU, Xiaoning ZHANG, Zesong FEI. Power Allocation Technology of Long Time Multi-Star Hopping Beam for LEO Satellite[J]. Space-integrated-ground information networks, 2023, 4(4): 38-48. DOI: 10.11959/j.issn.2096-8930.2023041.
低轨卫星由于具有低成本、低时延和较小的路径损耗等特点而具有较优越的发展前景,在物联网、B5G等领域应用广泛。针对 LEO 卫星与其覆盖区域处于移动状态的问题,提出一种基于凸优化的长时多星跳波束功率分配算法以实现系统容量最大化。重点关注一段时间内的多星跳波束场景,根据长时同轨多星跳波束场景与长时异轨多星跳波束场景分别建立了系统模型。考虑星间干扰、负载均衡和星间资源分配优先级等因素的影响,以加权目标函数作为优化目标,对两种长时多星跳波束场景进行资源分配算法设计,提出基于凸优化的长时跳波束资源分配算法。仿真结果表明,与传统方案相比,所提方案可以提高系统的资源利用率。
LEO satellites have superior development prospects due to their low cost
low latency and small path loss
and are widely used in IoT
B5G and other fields.For the LEO satellite and its coverage area will be in a moving state
a convex optimization-based long-time multi-star beam hopping power allocation algorithm was proposed to maximize the system capacity.Focused on the multi-star hopping beam scenario over a period of time
a system model was developed based on the long-time co-orbital multi-star hopping beam scenario and the long-time heterodyne multi-star hopping beam scenario respectively.The resource allocation algorithm was designed for the two long-time multi-star hopping beams with the weighted objective function as the optimization objective
considered the influence factors of inter-star interference
load balancing and inter-star resource allocation priority
a long-time skipping beam resource allocation algorithm based on convex optimization was proposed.The simulation results showed that the proposed scheme could improve the resource utilization of the system compared with the conventional schemes.
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