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이진 마르코프 연쇄 모형 기반 실시간 원격 추정값의 오차 분석

Analysis of Real-time Error for Remote Estimation Based on Binary Markov Chain Model

  • Lee, Yutae (Department of Information and Communications Engineering, Dong-eui University)
  • 투고 : 2021.12.16
  • 심사 : 2022.01.16
  • 발행 : 2022.02.28

초록

This paper studies real-time error in the context of monitoring a symmetric binary information source over a delay system. To obtain the average real-time error, the delay system is modeled and analyzed as a discrete time Markov chain with a finite state space. Numerical analysis is performed on various system parameters such as state transition probabilities of information source, transmission times, and transmission frequencies. Given state transition probabilities and transmission times, we investigate the relationship between the transmission frequency and the average real-time error. The results can be used to investigate the relationship between real-time errors and age of information.

키워드

과제정보

This work was supported by the National Research Foundation of Korea(NRF) grant funded by the Korea government(MSIT).(No. NRF-2021R1A2C1011756)

참고문헌

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