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作 者:严佳洁 祖家琛 胡谷雨 邵东生 王帅辉 YAN Jia-jie;ZU Jia-chen;HU Gu-yu;SHAO Dong-sheng;WANG Shuai-hui(School of Command and Control Engineering,Army Engineering University of PLA,Nanjing 210007,China)
机构地区:[1]陆军工程大学指挥控制工程学院,南京210007
出 处:《计算机科学》2021年第3期275-280,共6页Computer Science
摘 要:经过多年的建设发展,卫星通信已经形成了多系列卫星并存、相互支撑、相互补充的通信系统。然而,由于各卫星系统建设时间跨度大,通信技术手段存在差异,如何高效利用异构的卫星通信资源成为了一个实际难题。为此,文中首次根据卫星与地球站的可互通条件构建了系统模型,并将其归结为线性约束下离散变量的非线性优化问题,优化目标是异构卫星波束间的负载均衡,并在此基础上设计了一种两阶段的启发式组网规划方法。最后,根据地球同步卫星网络特性设置了合理的仿真参数,利用Matlab平台进行仿真实验。仿真结果表明,所提方法在面对不同规模的地球站组网时,在平均负载和负载均衡性上均优于一般的枚举搜索和遗传优化算法,可以在短时间内对大规模的信道单元进行组网规划。After years of construction and development,the satellite communication industry has formed a communication system in which multiple series of satellites coexist,support and complement each other.However,how to efficiently utilize heteroge-neous satellite communication resources has become a practical problem.Therefore,according to the intercommunication conditions between satellite and earth station,a network model is first put forward and formulated as a nonlinear optimization problem under linear constraints.The optimization goal is to balance the load between satellite beams,and a two-stage heuristic network planning algorithm is designed.Finally,the Matlab simulator is used to verify the proposed algorithm,reasonable parameters are set according to the characteristics of the geostationary satellite network.The simulation results show that the proposed method is superior to the enumerative search and genetic-based algorithms in load balance,and it can build networks for large-scale channel units in a short time.
关 键 词:卫星网络 地球站 网络管理 组网规划 异构资源优化
分 类 号:TP393[自动化与计算机技术—计算机应用技术]
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