Torn-Paper Coding

We consider the problem of communicating over a channel that randomly "tears" the message block into small pieces of different sizes and shuffles them. For the binary torn-paper channel with block length <inline-formula> <tex-math notation="LaTeX">n </tex-math>&...

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Published inIEEE transactions on information theory Vol. 67; no. 12; pp. 7904 - 7913
Main Authors Shomorony, Ilan, Vahid, Alireza
Format Journal Article
LanguageEnglish
Published New York IEEE 01.12.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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Abstract We consider the problem of communicating over a channel that randomly "tears" the message block into small pieces of different sizes and shuffles them. For the binary torn-paper channel with block length <inline-formula> <tex-math notation="LaTeX">n </tex-math></inline-formula> and pieces of length <inline-formula> <tex-math notation="LaTeX">{\mathrm{ Geometric}}(p_{n}) </tex-math></inline-formula>, we characterize the capacity as <inline-formula> <tex-math notation="LaTeX">C = e^{-\alpha } </tex-math></inline-formula>, where <inline-formula> <tex-math notation="LaTeX">\alpha = \lim _{n\to \infty } p_{n} \log n </tex-math></inline-formula>. Our results show that the case of <inline-formula> <tex-math notation="LaTeX">{\mathrm{ Geometric}}(p_{n}) </tex-math></inline-formula>-length fragments and the case of deterministic length-<inline-formula> <tex-math notation="LaTeX">(1/p_{n}) </tex-math></inline-formula> fragments are qualitatively different and, surprisingly, the capacity of the former is larger. Intuitively, this is due to the fact that, in the random fragments case, large fragments are sometimes observed, which boosts the capacity.
AbstractList We consider the problem of communicating over a channel that randomly "tears" the message block into small pieces of different sizes and shuffles them. For the binary torn-paper channel with block length <inline-formula> <tex-math notation="LaTeX">n </tex-math></inline-formula> and pieces of length <inline-formula> <tex-math notation="LaTeX">{\mathrm{ Geometric}}(p_{n}) </tex-math></inline-formula>, we characterize the capacity as <inline-formula> <tex-math notation="LaTeX">C = e^{-\alpha } </tex-math></inline-formula>, where <inline-formula> <tex-math notation="LaTeX">\alpha = \lim _{n\to \infty } p_{n} \log n </tex-math></inline-formula>. Our results show that the case of <inline-formula> <tex-math notation="LaTeX">{\mathrm{ Geometric}}(p_{n}) </tex-math></inline-formula>-length fragments and the case of deterministic length-<inline-formula> <tex-math notation="LaTeX">(1/p_{n}) </tex-math></inline-formula> fragments are qualitatively different and, surprisingly, the capacity of the former is larger. Intuitively, this is due to the fact that, in the random fragments case, large fragments are sometimes observed, which boosts the capacity.
We consider the problem of communicating over a channel that randomly “tears” the message block into small pieces of different sizes and shuffles them. For the binary torn-paper channel with block length [Formula Omitted] and pieces of length [Formula Omitted], we characterize the capacity as [Formula Omitted], where [Formula Omitted]. Our results show that the case of [Formula Omitted]-length fragments and the case of deterministic length-[Formula Omitted] fragments are qualitatively different and, surprisingly, the capacity of the former is larger. Intuitively, this is due to the fact that, in the random fragments case, large fragments are sometimes observed, which boosts the capacity.
Author Shomorony, Ilan
Vahid, Alireza
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Snippet We consider the problem of communicating over a channel that randomly "tears" the message block into small pieces of different sizes and shuffles them. For the...
We consider the problem of communicating over a channel that randomly “tears” the message block into small pieces of different sizes and shuffles them. For the...
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SubjectTerms Codes
Communication
data storage
Decoding
DNA
DNA storage
Encoding
Fragments
Indexes
Sequential analysis
Torn paper
Transmitters
unordered communication
Title Torn-Paper Coding
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