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Active queue management algorithm based on data-driven predictive control

Author

Listed:
  • Ping Wang

    (Jilin University
    Jilin University)

  • Daji Zhu

    (Jilin University)

  • Xiaohui Lu

    (Changchun University of Technology)

Abstract

Model predictive control (MPC) is a popular strategy for active queue management (AQM) that is able to incorporate physical and user defined constraints. However, the current MPC methods rely on explicit fluid model of TCP behavior with input time delay. In this paper, we propose a novel AQM algorithm based on data-driven predictive control, called Data-AQM. For Internet system with large delay, complex change and bad disturbance, data-driven predictive controller can be obtained directly based on the input–output data alone and does not require any explicit model of the system. According to the input–output data, the future queue length in data buffer, which is the basis of optimizing drop probability, is predicted. Furthermore, considering system constraints, the control requirement is converted to the optimal control objective, then the drop probability is obtained by solving the optimal problem online. Finally, the performances of Data-AQM are evaluated through a series of simulations.

Suggested Citation

  • Ping Wang & Daji Zhu & Xiaohui Lu, 2017. "Active queue management algorithm based on data-driven predictive control," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 64(1), pages 103-111, January.
    • Handle: RePEc:spr:telsys:v:64:y:2017:i:1:d:10.1007_s11235-016-0162-6
    DOI: 10.1007/s11235-016-0162-6
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    Cited by:

    1. Andrzej Chydzinski, 2021. "On the stability of queues with the dropping function," PLOS ONE, Public Library of Science, vol. 16(11), pages 1-16, November.
    2. Chydzinski, Andrzej & Adamczyk, Blazej, 2020. "Response time of the queue with the dropping function," Applied Mathematics and Computation, Elsevier, vol. 377(C).
    3. Ghasem Kahe & Amir Hossein Jahangir, 2019. "A self-tuning controller for queuing delay regulation in TCP/AQM networks," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 71(2), pages 215-229, June.

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