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高级在轨系统的自相似业务量预测链路优化模型

Research on Link Optimization Model of Self-similar Traffics Prediction Based on Advanced Orbiting System
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摘要 在AOS高级在轨系统链路协议的基础上,分析了具有自相似特性的业务流量,提出了一种基于FARIMA模型的自相似预测的链路优化模型。该预测模型基于分数阶统计理论,在估计赫斯特参数的基础上,根据不同的时间粒度,提前预测突发业务量的到来,从而降低了网络丢包率。仿真表明模型在20点预测内具有较好拟合性,在一定置信区间下具有较好的预测成功概率和较低的虚警概率,同时使网络丢包率大幅下降。 The output of VCLC sublayer is taken as the input of virtual channel on CCSDS AOS, whose multiplexing efficiency and waiting-time directly affect the performance of the VCA sublayer and whole system. Based on Possion distribution,the research of efficiency is transformed into the occurred probability of full efficiency. While establishing the probability and statistics model of MPDU multiplexing, a new virtual channel scheduling model with weighted slots and the optimized throughput is proposed. And the equations derivation with optimized throughput is given. The simulation result shows that the new cross-layer model can increase throughput and reduce the delay.
作者 王继辉 池云 赵运弢 刘恒驰
机构地区 沈阳职业技术学院电气工程学院 辽宁行政学院 沈阳理工大学信息科学与工程学院 空军沈阳后勤训练基地
出处 《火力与指挥控制》 CSCD 北大核心 2015年第1期84-87,共4页 Fire Control & Command Control
关键词 CCSDS 高级在轨系统 自相似 赫斯特参数 VCLC CCSDS, advanced orbit systems, self-Similar parameter, hurst, VCLC
分类号 TN919 [电子电信—通信与信息系统]
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参考文献10

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火力与指挥控制
2015年 第1期

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