Proceedings of the 13th EAI International Conference on Mobile Multimedia Communications, Mobimedia 2020, 27-28 August 2020, Cyberspace

Research Article

Analysis the Reliability Capability of Cognitive Frequency Hopping Communication System

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  • @INPROCEEDINGS{10.4108/eai.27-8-2020.2294328,
        author={Chenxi Li and Peihan Qi and Danyang Wang and Xiaoyu Zhou},
        title={Analysis the Reliability Capability of Cognitive Frequency Hopping Communication System},
        proceedings={Proceedings of the 13th EAI International Conference on Mobile Multimedia Communications, Mobimedia 2020, 27-28 August 2020, Cyberspace},
        publisher={EAI},
        proceedings_a={MOBIMEDIA},
        year={2020},
        month={11},
        keywords={cognitive frequency hopping (cfh) reliability capability false alarm probability missed detection probability and communication link convergence delay},
        doi={10.4108/eai.27-8-2020.2294328}
    }
    
  • Chenxi Li
    Peihan Qi
    Danyang Wang
    Xiaoyu Zhou
    Year: 2020
    Analysis the Reliability Capability of Cognitive Frequency Hopping Communication System
    MOBIMEDIA
    EAI
    DOI: 10.4108/eai.27-8-2020.2294328
Chenxi Li1,*, Peihan Qi1, Danyang Wang1, Xiaoyu Zhou1
  • 1: Xidian University
*Contact email: chenxili@stu.xidian.edu.cn

Abstract

In this paper, we propose a method that can effectively measure the reliability capability of cognitive frequency hopping (CFH) communication systems. Considering that various malicious interference devices and advanced interference technologies have appeared in the wireless communication environment, a novel method called CFH has been proposed recently to effectively resist the interference devices. This method can evaluate the occupation of frequency hopping frequency slots, and thus dynamically adjust the system parameters based on the evaluation results. However, we note that the existing literature only shows that the system is reliable, but few work has been done to analyze the reliability of the CFH system and the factors affecting the reliability. Therefore, by analyzing the effects of false alarm probability, missed detection probability, and communication link convergence delay, we obtain analytical expressions to evaluate reliability. Simulation results evaluate the proposed method.