基于干扰感知的多星协同跳波束资源分配  

Multi-satellite cooperative beam hopping resource allocation based on interference perception

作　　者：胡金龙[1,2,3] 刘继红 周一青 曹欢[1,2,3] 刘子凡 赵佳伟 原进宏 HU Jinlong;LIU Jihong;ZHOU Yiqing;CAO Huan;LIU Zifan;ZHAO Jiawei;YUAN Jinhong(State Key Lab of Processors,Institute of Computing Technology,Chinese Academy of Sciences,Beijing 100190,China;University of Chinese Academy of Sciences,Beijing 100049,China;Beijing Key Laboratory of Mobile Computing and Pervasive Device,Beijing 100190,China;School of Electrical Engineering and Telecommunications,University of New South Wales,Sydney NSW2052,Australia)

机构地区：[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

出　　处：《电信科学》2023年第8期17-28,共12页Telecommunications Science

基　　金：国家重点研发计划项目(No.2020YFB1808004)。

摘　　要：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 satel-lites 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%.

关 键 词：LEO卫星 跳波束 资源分配 

分 类 号：TN927[电子电信—通信与信息系统]