A theoretical approach to a safety-based predictive adaptation of wireless communication channel parameters in harsh environments

Abstract

This paper presents an approach to a real-time optimization of safety parameters in wireless communication systems. When considering the GEC–model (Generalized Erasure Channel) and the black channel design of a communication channel, then the PFH (Probability of Failure per Hour) value can be estimated using the parameters ε – BER (bit-error-rate), φ – BLR (bit-loss-rate), v – number of safety related messages per second, n – message length and dmin – minimum distance of a linear code. The number of safety related messages per second v and the message length n, including the information block k and the checksum block r, can be varying between the permissible bounds. Accordingly, the variable parameters can be adjusted at run-time with additional assimilation of the used cyclic code. It allows the real-time prediction and optimization of the safety parameters. In this paper, the concept of the parameter estimation is discussed and based on it the optimization problem is defined.

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Notes

  1. 1.

    E/E/PE stands for “electrical and/or electronic and/or programmable electronic” (IEC 61508 2000)

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Correspondence to L. Gaus.

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Gaus, L., Schwarz, M. & Boercsoek, J. A theoretical approach to a safety-based predictive adaptation of wireless communication channel parameters in harsh environments. Saf. Extreme Environ. 2, 93–101 (2020). https://doi.org/10.1007/s42797-019-00011-8

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Keywords

  • Safety parameter
  • Probability prediction
  • Communication
  • Black channel
  • GEC
  • CRC