Nguyen, V.P. and Pham, N.X. and Nguyen, Q.C. (2023) Improved Belief Propagation Polar Decoder Based on Permuted Factor Graphs and Reliable Frozen Nodes. In: UNSPECIFIED.
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In this Letter, an improved belief propagation technique aided by reliable frozen nodes and a permuted factor graph is designed to enhance the performance of the polar decoding in the finite regime length. The support from added check nodes makes frozen nodes more reliable. At the same time, a wisely selected factor graph helps generate a large number of frozen nodes, thereby can provide better support for the decoding. The simulation results show that the proposed decoding scheme obtains gains of about 0.6 dB for the code (1024, 512) and 0.5 dB for the code (2048, 1024) at the BER of 10-4, respectively, with reasonable complexity. © 2023 IEEE.
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Divisions: | Offices > Office of International Cooperation |
| Identification Number: | 10.1109/ICCAIS59597.2023.10382367 |
| Uncontrolled Keywords: | Backpropagation; Decoding; Graph theory, Belief propagation; Belief-propagation decoding; Check nodes; Decoding scheme; Factor graphs; Frozen node; Performance; Permutated graph; Polar codes, Belief propagation |
| Additional Information: | cited By 0; Conference of 12th IEEE International Conference on Control, Automation and Information Sciences, ICCAIS 2023 ; Conference Date: 27 November 2023 Through 29 November 2023; Conference Code:196337 |
| URI: | http://eprints.lqdtu.edu.vn/id/eprint/11101 |
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