2020 IEEE Information Theory Workshop (ITW) 2021
DOI: 10.1109/itw46852.2021.9457588
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Real-Time Variable-to-Fixed Lossless Source Coding of Randomly Arriving Symbols

Abstract: We address the recently suggested problem of causal lossless coding of a randomly arriving source samples. We construct variable-to-fixed coding schemes and show that they outperform the previously considered fixed-to-variable schemes when traffic is high both in terms of delay and Age of Information by appealing to tools from queueing theory. We supplement our theoretical bounds with numerical simulations.

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Cited by 4 publications
(2 citation statements)
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“…Furthermore, the slope of these curves are equal to − 3 4 , confirming Theorem 2. We also observe that there is a gap no greater than 5 2 incurred by using ceiling function for the two real-valued coding policies and that the gap between the two integer-valued coding policies is small. In Fig.…”
Section: Numerical Resultsmentioning
confidence: 65%
See 1 more Smart Citation
“…Furthermore, the slope of these curves are equal to − 3 4 , confirming Theorem 2. We also observe that there is a gap no greater than 5 2 incurred by using ceiling function for the two real-valued coding policies and that the gap between the two integer-valued coding policies is small. In Fig.…”
Section: Numerical Resultsmentioning
confidence: 65%
“…The optimal sampling policy for generateat-will sources have been investigated in [2] and [3] without involving coding. Real-time fixed-to-variable, variable-to-fixed and variable-to-variable lossless source coding schemes have been studied in [4], [5] and [6] respectively. In [4]- [6], all the symbols generated are transmitted.…”
Section: Introductionmentioning
confidence: 99%