A Low-Complexity Decoder With Non-Uniform Quantization for Recursive BMST Codes

Recursive block Markov superposition transmission (rBMST) can be used to construct high-performance spatially coupled codes. When used in power-limited scenarios, low-complexity quantized decoders are required for the rBMST codes. In this letter, we introduce an efficient decoder for rBMST codes by...

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Bibliographic Details
Published in:IEEE communications letters Vol. 25; no. 8; pp. 2463 - 2467
Main Authors: Ai, Shengbo, Zhao, Shancheng
Format: Journal Article
Language:English
Published: New York IEEE 01.08.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Algorithms
Complexity
Complexity theory
Decoders
Decoding
Encoding
Floating point arithmetic
Heuristic algorithms
Iterative decoding
Low complexity decoding
Measurement
min-sum algorithm
Mutual information
non-uniform quantization
Quantization (signal)
recursive block Markov superposition transmission (BMST) codes
ISSN:1089-7798, 1558-2558
Online Access:Get full text
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Summary:Recursive block Markov superposition transmission (rBMST) can be used to construct high-performance spatially coupled codes. When used in power-limited scenarios, low-complexity quantized decoders are required for the rBMST codes. In this letter, we introduce an efficient decoder for rBMST codes by incorporating non-uniform quantization (NUQ) into the threshold attenuated min-sum algorithm (TAMSA). The resulting decoder is referred to as the NUQ-TAMSA. We use the hierarchical dynamic quantization algorithm to design the non-uniform quantizer. To show the effectiveness of the NUQ-TAMSA, we carry out comprehensive comparisons. Our results show that, for low-resolution quantization, performance gains as large as 0.3 dB can be obtained with the NUQ-TAMSA. Numerical results also show that, for a wide range of coding rates, 5-bits non-uniform quantization is sufficient for NUQ-TAMSA to approach the performances of the floating-point based TAMSA.
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ISSN:1089-7798
1558-2558
DOI:10.1109/LCOMM.2021.3078796