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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Veröffentlicht in:IEEE communications letters Jg. 25; H. 11; S. 3454 - 3457
Hauptverfasser: Yao, Xinyuanmeng, Ma, Xiao
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.11.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
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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Beschreibung
Zusammenfassung: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