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 in | IEEE communications letters Vol. 23; no. 1; pp. 32 - 35 |
|---|---|
| Main Author | |
| Format | Journal Article |
| Language | English |
| Published |
New York
IEEE
01.01.2019
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1089-7798 1558-2558 |
| DOI | 10.1109/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. |
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| 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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