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1. 处理器芯片全国重点实验室,中国科学院计算技术研究所,北京 100190
2. 中国科学院大学,北京 100049
3. 移动计算与新型终端北京市重点实验室,北京 100190
4. 新南威尔士大学电气工程与通信学院,新南威尔士州 悉尼 NSW2052
[ "胡金龙(1982- ),男,中国科学院计算技术研究所博士生,主要研究方向为卫星通信网络、无线自组织网络无线资源管理技术及信号处理技术" ]
[ "刘继红(1986- ),女,中国科学院计算技术研究所博士生,主要研究方向为无线资源分配、车联网、LEO卫星通信" ]
[ "周一青(1975- ),女,中国科学院计算技术研究所研究员、无线中心副主任,主要研究方向为计算与通信融合、异构网络和干扰管理" ]
[ "曹欢(1988- ),男,中国科学院计算技术研究所工程师,主要研究方向为卫星通信系统资源管控" ]
[ "刘子凡(1996- ),男,中国科学院计算技术研究所助理工程师,主要研究方向为卫星组网" ]
[ "赵佳伟(1999- ),男,中国科学院计算技术研究所硕士生,主要研究方向为卫星通信" ]
[ "原进宏(1969- ),男,新南威尔士大学电气工程与通信学院教授及通信学科负责人,主要研究方向为差错控制编码、无线通信理论及信息论" ]
网络出版日期:2023-08,
纸质出版日期:2023-08-20
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胡金龙, 刘继红, 周一青, 等. 基于干扰感知的多星协同跳波束资源分配[J]. 电信科学, 2023,39(8):17-28.
Jinlong HU, Jihong LIU, Yiqing ZHOU, et al. Multi-satellite cooperative beam hopping resource allocation based on interference perception[J]. Telecommunications science, 2023, 39(8): 17-28.
胡金龙, 刘继红, 周一青, 等. 基于干扰感知的多星协同跳波束资源分配[J]. 电信科学, 2023,39(8):17-28. DOI: 10.11959/j.issn.1000-0801.2023161.
Jinlong HU, Jihong LIU, Yiqing ZHOU, et al. Multi-satellite cooperative beam hopping resource allocation based on interference perception[J]. Telecommunications science, 2023, 39(8): 17-28. DOI: 10.11959/j.issn.1000-0801.2023161.
跳波束(beam hopping,BH)技术是解决低地球轨道(low earth orbit,LEO)卫星波束数量受限、增强系统覆盖能力的有效手段之一。现有研究通常考虑单颗 LEO 卫星的跳波束资源分配,然而实际的 LEO系统是由多个轨道上的多颗卫星协同进行覆盖,现有研究忽略了卫星间的波束干扰,容易导致系统吞吐量降低、服务质量下降。针对上述问题,本文以最大化波位服务满意度(beam service satisfaction
BSS)为目标,提出了一种基于干扰感知的LEO多星协同跳波束资源分配模型(interference aware cooperative resource allocation for LEO with beam hopping,IARA-BH),并提出了一种基于模拟退火的求解算法来得到多星协同跳波束资源分配方案(multi satellite interference coordination based on simulated annealing algorithm,MSIC-SAA)。仿真实验表明,相较于单星跳波束资源分配算法,MSIC-SAA算法的BSS提升了47.24%,平均信号干扰噪声比(signal to interference noise ratio,SINR)提升了27.40%,同时系统吞吐量提升了22.92%。
Beam hopping (BH) technology is one of effective ways to solve limitation of beam resources and enhance the system coverage ability of low earth orbit (LEO) satellite systems.Existing research typically considers beam hopping resource allocation for a single LEO satellite
however
the actual LEO system is covered by multiple satellites in multiple orbits
and existing research ignores beam interference between satellites
which can easily lead to a decrease in system throughput and service quality.To address these issues
this paper designs an interference aware cooperative resource allocation for LEO with beam hopping (IARA-BH)
aiming to maximize the beam service satisfaction (BSS).A BH resource allocation scheme by multi satellite interference coordination based on simulated annealing algorithm (MSIC-SAA) is proposed to solve the optimization problem.Simulation experiments show that compared to beam hopping resource allocation schemes that only consider a single satellite
the BSS of the MSIC-SAA algorithm has been improved by 47.24%
the average signal to interference noise ratio (SINR) has been improved by 27.40%
and the system throughput has been improved by 22.92%.
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