• DocumentCode
    596642
  • Title

    Cognitive radio multi-channel routing algorithm based on a modified PCNN

  • Author

    Dongming Zhou ; Zhengqiu Zhang

  • Author_Institution
    Inf. Coll., Yunnan Univ., Kunming, China
  • fYear
    2012
  • fDate
    18-20 Oct. 2012
  • Firstpage
    549
  • Lastpage
    552
  • Abstract
    The core idea of cognitive radio technology is to realize the dynamic spectrum allocation and spectrum sharing through spectrum sensing and system learning. This paper sets the throughput and delays as the algorithm design target, puts forward a cognitive radio multi-channel routing algorithm based on a modified PCNN (MPCNN), which fully considered the multi-channel characteristic, through both the channel selection and routing selection, allowing the relatively idle channel to assume more data forwarding tasks, at the same time by reducing the channel interference to improve the network throughput, meanwhile avoid frequently spectrum switching on the busy channels. Thus the switching time delays and the back off delays will be reduced.
  • Keywords
    cognitive radio; graph theory; learning (artificial intelligence); neural nets; radio spectrum management; radiofrequency interference; spread spectrum communication; telecommunication computing; telecommunication network routing; wireless channels; back off delay reduction; channel selection; cognitive radio multichannel routing algorithm; cognitive radio technology; data forwarding tasks; dynamic spectrum allocation; dynamic spectrum sharing; frequently spectrum switching avoidance; interference reduction; modified PCNN; modified pulse-coupled neural networks; multichannel characteristic; network routing graph; network throughput improvement; routing selection; spectrum sensing; switching time delay reduction; system learning; Algorithm design and analysis; Cognitive radio; Delay; Neurons; Routing; Switches; Throughput;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computational Intelligence (ICACI), 2012 IEEE Fifth International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4673-1743-6
  • Type

    conf

  • DOI
    10.1109/ICACI.2012.6463224
  • Filename
    6463224