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认知无线网络中基于时间序列预测的冲突分解算法 被引量：4

Collision resolution algorithm based on time-series forecasting for cognitive wireless networks
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摘要 针对认知无线网络提出了一种新的基于业务模型预测的冲突分解算法,该算法利用认知节点对用户业务的感知能力对业务进行建模,使用模型预测冲突报文数,同时结合树形分解算法来分解报文冲突。理论分析和仿真结果都表明,在真实的自相似业务背景下,该算法能提高认知网络的系统吞吐率和降低平均分解周期,从而使得系统的整体性能得到改善。 A novel prediction-based collision resolution algorithm for self-similar traffic in cognitive wireless networks was formulated.The packet collision was resolved by combining the tree splitting scheme and the prediction theory.Through theoretical analysis and simulation experiments,the proposed prediction-based collision resolution algorithm performs better than the binary-tree splitting algorithm in terms of network throughput and collision resolution period.
作者 杨双懋 郭伟 唐伟
机构地区 电子科技大学通信抗干扰技术国家级重点实验室
出处 《通信学报》 EI CSCD 北大核心 2011年第11期51-58,共8页 Journal on Communications
基金 国家科技重大专项(2010ZX03005-002) 国家重点基础研究发展计划("973"计划)基金资助项目(2009CB320405)~~
关键词 认知网络 冲突分解 时间序列 媒体接入控制 cognitive networks collision resolution time series media access control
分类号 TP393 [自动化与计算机技术—计算机应用技术]
  • 相关文献

参考文献20

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共引文献10

同被引文献29

  • 1洪飞,吴志美.基于小波的Hurst指数自适应估计方法[J].软件学报,2005,16(9):1685-1689. 被引量：16
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引证文献4

二级引证文献24

通信学报
2011年 第11期

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