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<p>This paper examines the efficacy of switching-based hybrid free space optical (FSO)/radio frequency (RF) transmission in the presence of atmospheric turbulence considering receiver diversity. The switching-based hybrid FSO/RF system consists of an FSO link, an RF link, along with a switching device capable of selecting either link for transmission of optical signal. The performance of the system has been investigated in terms of signal to noise ratio and outage probability. A well-trained artificial neural network (ANN) architecture, support vector machine and K-Nearest neighbor models have been employed to classify the weather characteristics, for managing transition between FSO and RF channels. ANN model results in improved performance with reported higher values of accuracy, specificity and sensitivity of the model.</p>

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Channel modelling and performance analysis of switching based hybrid FSO/RF communication system

  • 期刊论文

  • 发表日期：

    2025年7月11日

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  • Kritica Sharma,
  • Sanmukh Kaur,
  • Hardeep Singh

摘要

This paper examines the efficacy of switching-based hybrid free space optical (FSO)/radio frequency (RF) transmission in the presence of atmospheric turbulence considering receiver diversity. The switching-based hybrid FSO/RF system consists of an FSO link, an RF link, along with a switching device capable of selecting either link for transmission of optical signal. The performance of the system has been investigated in terms of signal to noise ratio and outage probability. A well-trained artificial neural network (ANN) architecture, support vector machine and K-Nearest neighbor models have been employed to classify the weather characteristics, for managing transition between FSO and RF channels. ANN model results in improved performance with reported higher values of accuracy, specificity and sensitivity of the model.