A Type-Aware Coding Approach to Joint Source-Channel Coding

In this letter, we propose a type-aware coding approach to joint source-channel coding (JSCC) and present a concrete construction with polarization-adjusted convolutional (PAC) codes. A data sequence is first encoded by enumerative coding and then encoded by a data-dependent PAC code, resulting in a...

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Vydáno v:IEEE communications letters Ročník 25; číslo 11; s. 3454 - 3457
Hlavní autoři: Yao, Xinyuanmeng, Ma, Xiao
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York IEEE 01.11.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Algorithms
Codes
Coding
Concrete construction
Convolutional codes
Decoding
Encoding
Enumerative coding
fixed-to-variable-length
Indexes
joint source-channel coding
Lower bounds
PAC codes
Picture archiving and communication systems
Source code
type-aware coding
Upper bound
ISSN:1089-7798, 1558-2558
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Shrnutí:In this letter, we propose a type-aware coding approach to joint source-channel coding (JSCC) and present a concrete construction with polarization-adjusted convolutional (PAC) codes. A data sequence is first encoded by enumerative coding and then encoded by a data-dependent PAC code, resulting in a transmitted codeword. At the receiver, a type-search decoding algorithm is employed, and the implementation complexity can be reduced by searching only those typical types. Simulation results show that the presented JSCC scheme can outperform the conventional tandem coding scheme with a fixed-to-fixed-length source code and achieve a performance within the gap between the upper and lower bound on the minimum FER of finite-length JSCCs.
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ISSN:1089-7798
1558-2558
DOI:10.1109/LCOMM.2021.3112506