8th International Conference on Cognitive Radio Oriented Wireless Networks

Research Article

Analysis on the Probability of Electromagnetic Compatibility in Cognitive Radio

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  • @INPROCEEDINGS{10.4108/icst.crowncom.2013.252031,
        author={kun xu and MingXue Liao and XiaoXin He and ChangWen Zheng and HaiYu Ren},
        title={Analysis on the Probability of Electromagnetic Compatibility in Cognitive Radio},
        proceedings={8th International Conference on Cognitive Radio Oriented Wireless Networks},
        publisher={ICST},
        proceedings_a={CROWNCOM},
        year={2013},
        month={11},
        keywords={cognitive radio; spectrum decision; electromagnetic compatibility; co-channel/adjacent channel interference; harmonic interference; intermodulation interference},
        doi={10.4108/icst.crowncom.2013.252031}
    }
    
  • kun xu
    MingXue Liao
    XiaoXin He
    ChangWen Zheng
    HaiYu Ren
    Year: 2013
    Analysis on the Probability of Electromagnetic Compatibility in Cognitive Radio
    CROWNCOM
    IEEE
    DOI: 10.4108/icst.crowncom.2013.252031
kun xu1,*, MingXue Liao2, XiaoXin He2, ChangWen Zheng2, HaiYu Ren2
  • 1: University of Chinese Academy of Sciences
  • 2: Institute of Software Chinese Academy of Sciences
*Contact email: hixukun@163.com

Abstract

How to determine an optimal topology is extremely important during the spectrum decision procedure for a cognitive radio network. In a multi-transceiver cognitive radio network, transceivers of a cognitive user will work in a parallel mode, by which the throughput of the network can be increased. Each cognitive user working in such mode should keep electromagnetic compatible (EMC), which will increase the time-complexity of spectrum decision dramatically. In order to solve this problem, an approximate decision model with lower time complexity is given. To evaluate the reliability of the approximate model, a method for EMC probability analysis is presented, which covers co-channel/adjacent channel interference, harmonic interference and intermodulation interference. With a network scene under development, both a theoretic EMC probability and a simulated estimation value are obtained and the good consistency between both results shows that the method is practicable in engineering.