Layered HARQ Design for LDPC-Based Multi-Level Coded Modulation

Multi-level coded modulation (MLCM) enhances data transmission by allocating error correction more effectively to bits with higher error probabilities, thus optimizing redundancy and improving performance. Despite MLCM's advantages over traditional bit-interleaved coded modulation (BICM) systems in certain scenarios, its integration with hybrid automatic repeat request (HARQ) systems remains underexplored. HARQ, which combines the benefits of forward error correction (FEC) and automatic repeat request (ARQ), significantly increases resilience to interference and fading, enhancing overall system reliability. This paper bridges the gap by integrating HARQ techniques into the MLCM framework, which was specifically adapted to the layered nature of MLCM. We present tailored hybrid retransmission strategies for each layer of MLCM, demonstrating substantial gains in retransmission efficiency and overall transmission performance.

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Publication Details

Journal
Entropy
Published
2025-06-13
DOI
https://doi.org/10.3390/e27060629
Citations
1
Primary Topic
Error Correcting Code Techniques
Type
article
Field-Weighted Citation Impact
1.49
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article

Layered HARQ Design for LDPC-Based Multi-Level Coded Modulation

Yuejun Wei, Chunqi Chen, Yue Chen, Bin Xia et al.
1 citations
Entropy
Error Correcting Code Techniques
1.49
article

Layered HARQ Design for LDPC-Based Multi-Level Coded Modulation

Yuejun Wei, Chunqi Chen, Yue Chen, Bin Xia, Liandong Wang
article en
1 citations

Abstract

Multi-level coded modulation (MLCM) enhances data transmission by allocating error correction more effectively to bits with higher error probabilities, thus optimizing redundancy and improving performance. Despite MLCM's advantages over traditional bit-interleaved coded modulation (BICM) systems in certain scenarios, its integration with hybrid automatic repeat request (HARQ) systems remains underexplored. HARQ, which combines the benefits of forward error correction (FEC) and automatic repeat request (ARQ), significantly increases resilience to interference and fading, enhancing overall system reliability. This paper bridges the gap by integrating HARQ techniques into the MLCM framework, which was specifically adapted to the layered nature of MLCM. We present tailored hybrid retransmission strategies for each layer of MLCM, demonstrating substantial gains in retransmission efficiency and overall transmission performance.

EntropyVol. 27(6)
Shanghai Polytechnic University (CN), Shanghai Jiao Tong University (CN)
Openalex Percentile: Top 16%
Error Correcting Code Techniques
1.49
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