cogcom 18: e1

Research Article

Research on Intelligent anti-jamming communication with Cognitive Radio

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  • @ARTICLE{10.4108/eai.11-5-2018.155074,
        author={Jingning Wang and Meng Liu and Yi Zhang},
        title={Research on Intelligent anti-jamming communication with Cognitive Radio},
        journal={EAI Endorsed Transactions on Cognitive Communications: Online First},
        volume={},
        number={},
        publisher={EAI},
        journal_a={COGCOM},
        year={2018},
        month={7},
        keywords={intelligent anti-jamming communication, transform domain communication system, artificial intelligence algorithm},
        doi={10.4108/eai.11-5-2018.155074}
    }
    
  • Jingning Wang
    Meng Liu
    Yi Zhang
    Year: 2018
    Research on Intelligent anti-jamming communication with Cognitive Radio
    COGCOM
    EAI
    DOI: 10.4108/eai.11-5-2018.155074
Jingning Wang1,*, Meng Liu1, Yi Zhang1
  • 1: The 54th Research Institute Of CETC, No.589 West Zhongshan Road, Shijiazhuang, China
*Contact email: wjnhit@126.com

Abstract

In order to solve the interfere problem in complex electromagnetic environment, NC-OFDM and TDCS are efficient transmit wave form proposed for cognitive radio. The spectral efficiency and the applicable environment of TDCS are different from NC-OFDM. The simulation results show that NC-OFDM can obtain the higher spectral efficiency and the required SINR is higher, and TDCS can work well in lower SINR environment with different spreading factor. When there is little spectrum hole, spread spectrum is a better choice. There is no threshold of some parameter which can make decision. An artificial intelligence algorithm is proposed to select the optimal one from several wave forms. The input parameters of the algorithm include SINR, interference bandwidth, spectrum holes, etc.