Memory-Assisted Quantized LDPC Decoding
We enhance coarsely quantized LDPC decoding by reusing computed check node messages from previous iterations. Typically, variable and check nodes update and replace old messages every iteration. We show that, under coarse quantization, discarding old messages entails a significant loss of mutual inf...
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| Vydané v: | IEEE communications letters Ročník 29; číslo 5; s. 888 - 892 |
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| Hlavní autori: | , |
| Médium: | Journal Article |
| Jazyk: | English |
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New York
IEEE
01.05.2025
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
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| Abstract | We enhance coarsely quantized LDPC decoding by reusing computed check node messages from previous iterations. Typically, variable and check nodes update and replace old messages every iteration. We show that, under coarse quantization, discarding old messages entails a significant loss of mutual information. The loss is avoided with additional memory, improving performance by up to 0.23 dB. We optimize quantization with a modified information bottleneck algorithm that considers the statistics of old messages. A simple merge operation reduces memory requirements. Depending on channel conditions and code rate, memory assistance enables up to 32% better area efficiency for 2-bit decoding. |
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| AbstractList | We enhance coarsely quantized LDPC decoding by reusing computed check node messages from previous iterations. Typically, variable and check nodes update and replace old messages every iteration. We show that, under coarse quantization, discarding old messages entails a significant loss of mutual information. The loss is avoided with additional memory, improving performance by up to 0.23 dB. We optimize quantization with a modified information bottleneck algorithm that considers the statistics of old messages. A simple merge operation reduces memory requirements. Depending on channel conditions and code rate, memory assistance enables up to 32% better area efficiency for 2-bit decoding. |
| Author | Mohr, Philipp Bauch, Gerhard |
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| References | ref13 ref12 (ref1) 2018 ref2 ref8 ref7 ref9 ref4 ref3 ref6 Chechik (ref11) ref5 Mohr (ref10) 2025 |
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| SubjectTerms | 5G mobile communication 5G NR Algorithms coarse quantization Complexity theory Decoding information bottleneck Iterative decoding layered schedule LDPC Memory management message passing Messages Mutual information Optimization Quantization (signal) Random variables Reliability |
| Title | Memory-Assisted Quantized LDPC Decoding |
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