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Optimal Dwell Time for Frequency Hopping in a Stackelberg Game with a Smart Jammer

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Machine Learning and Intelligent Communications (MLICOM 2019)

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Abstract

Frequency hopping (FH) technique is usually used to anti-jamming communication. Frequency dwell time is an important parameter for FH communication. Short dwell time will reduce the communication efficiency due to frequency switching time, while long dwell time will increase the time to be jammed after the sensing of a smart jammer. The dwell time of the cognitive user and the sensing time of the jammer are interactive. We formulate the interactions between the user and the jammer as a Stackelberg game. The jammer first senses the user’s operating frequency and then jams the user based on the sensing result. The user determines its dwell time according to the reward under the jamming. A tiered reinforcement learning algorithm is proposed to solve the game. The optimal dwell time of the user is given when the Stackelberg Equilibrium is achieved.

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Authors and Affiliations

  1. Sixty-third Research Institute, National University of Defense Technology, Nanjing, 210007, China

    Long Yu, Yonggang Zhu & Yusheng Li

Authors
  1. Long Yu
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  2. Yonggang Zhu
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  3. Yusheng Li
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Corresponding author

Correspondence to Long Yu .

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Editors and Affiliations

  1. Aeronautics and Astronautics of Nanjing University, Nanjing, China

    Xiangping Bryce Zhai

  2. Aeronautics and Astronautics of Nanjing University, Nanjing, China

    Bing Chen

  3. Aeronautics and Astronautics of Nanjing University, Nanjing, China

    Kun Zhu

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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Yu, L., Zhu, Y., Li, Y. (2019). Optimal Dwell Time for Frequency Hopping in a Stackelberg Game with a Smart Jammer. In: Zhai, X., Chen, B., Zhu, K. (eds) Machine Learning and Intelligent Communications. MLICOM 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 294. Springer, Cham. https://doi.org/10.1007/978-3-030-32388-2_35

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  • DOI: https://doi.org/10.1007/978-3-030-32388-2_35

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-32387-5

  • Online ISBN: 978-3-030-32388-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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