计算机科学 ›› 2011, Vol. 38 ›› Issue (8): 9-16.

• 综述 • 上一篇    下一篇

认知网络体系结构研究新进展

王慧强,徐俊波,冯光升,王振东,陈晓明   

  1. (哈尔滨工程大学计算机科学与技术学院 哈尔滨150001)
  • 出版日期:2018-11-16 发布日期:2018-11-16
  • 基金资助:
    本文受国家自然科学基金重大研究计划(907L8003),国家自然科学基金(60973027),黑龙江省自然科学基金(F201037) , 中央高校基本科研业务费专项资金(HEUCF100601)资助。

Review of Architectures of Cognitive Network

WANG Hui-qiang,XU Jun-bo, FENG Guang-sheng, WANG Zhen-dong, CHEN Xiao-ming   

  • Online:2018-11-16 Published:2018-11-16

摘要: 日益复杂的应用环境和多样化的用户需求,致使当前网络系统管理极度复杂,且缺乏智能的自适应能力。认知网络正是应这种实际需求而产生的,它被认为是提高网络整体性能及端到端性能、简化网络管理、解决网络自律性的新途径,是下一代网络发展的必然趋势。首先对认知网络体系结构的研究动态进行总结归纳,介绍了3种典型的认知网络体系结构,在此基础上提出了一个基于多级反馈MDE环的认知网络结构—超网络(Super-NET),并采用PEPA和ODEs相结合的方法进行了初步形式化分析,为构建认知网络理论模型莫定了基础,最后指出了认知网络研究所面临的问题与挑战,并对该领域发展方向进行了展望。

关键词: 认知网络,超网络,自律计算,认知环,下一代网络

Abstract: Increasingly complex application environments and diverse users’ needs have resulted in the complicated management of network systems that is short of ability of intelligent self-adaptation. In response to actual demand, Cognitive Network(CN) was proposed, which is considered as the inevitable trend of the next generation networks. Since CN come into the people's vision, it has shown a great role in improving the overall performance of networks and end-to-end goals, as well as simplifying network management Related work was summarized in depth in this paper firstly,and then 3 typical CN architectures were introduced briefly. Based upon the analysis of related work, a new more general framework called as Super-NET was proposed, which will lay the foundation for building theoretical model of CN. At last,problems and challenges facing by CN as well as direction of development were introduced briefly.

Key words: Cognitive networks, Super-NE I}, Autonomic computing, Cognitive cycle, Next generation networks

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