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http://dx.doi.org/10.6109/jkiice.2022.26.2.317

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)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.26, no.2, 2022 , pp. 317-320 More about this Journal
Abstract
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.
Keywords
Binary Markov source; Discrete time Markov chain; Real-time error; Remote estimation;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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