Symbol Mapping Design for Bit-Interleaved Polar-Coded Modulation With Iterative Decoding

In this letter, we design a bit-interleaved polar-coded modulation system with iterative decoding subject to constraints on complexity, error floor, and waterfall region performance. We show that the hill-like trajectory of polar code extrinsic information transfer curves allows us to predict the ga...

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Published inIEEE communications letters Vol. 23; no. 1; pp. 32 - 35
Main Author Fayyaz, Ubaid U.
Format Journal Article
LanguageEnglish
Published New York IEEE 01.01.2019
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
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ISSN1089-7798
1558-2558
DOI10.1109/LCOMM.2018.2878719

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Abstract In this letter, we design a bit-interleaved polar-coded modulation system with iterative decoding subject to constraints on complexity, error floor, and waterfall region performance. We show that the hill-like trajectory of polar code extrinsic information transfer curves allows us to predict the gap of the bottleneck region that a polar code achieves at a given received signal-to-noise ratio for a given labeling rule. Using the gap, we propose a 3-D linear objective function to optimize for error floor, waterfall region performance, and complexity. The objective function requires Monte Carlo simulations for only three points on the extrinsic information transfer curve of the demapper for a given labeling rule. Our simulations show that the proposed method designs labeling rule and polar code duos that trade off error-floor and waterfall region performance with complexity and latency.
AbstractList In this letter, we design a bit-interleaved polar-coded modulation system with iterative decoding subject to constraints on complexity, error floor, and waterfall region performance. We show that the hill-like trajectory of polar code extrinsic information transfer curves allows us to predict the gap of the bottleneck region that a polar code achieves at a given received signal-to-noise ratio for a given labeling rule. Using the gap, we propose a 3-D linear objective function to optimize for error floor, waterfall region performance, and complexity. The objective function requires Monte Carlo simulations for only three points on the extrinsic information transfer curve of the demapper for a given labeling rule. Our simulations show that the proposed method designs labeling rule and polar code duos that trade off error-floor and waterfall region performance with complexity and latency.
Author Fayyaz, Ubaid U.
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SubjectTerms bit-interleaved coded modulation
Codes
Complexity
Complexity theory
Computer simulation
Decoding
Floors
Information transfer
Iterative decoding
Labeling
Mapping
Modulation
Mutual information
Polar codes
Trajectory
Title Symbol Mapping Design for Bit-Interleaved Polar-Coded Modulation With Iterative Decoding
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