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Cyclically Equivariant Neural Decoders for Cyclic Codes

ICML 2021 · Graph learning › Graph algorithms and clustering · approach: Neural combinatorial optimization on graphs · 8 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use the cyclically equivariant neural decoder instead of N18Neural decoding of cyclic codes · BCH and punctured RM codesnegative natural logarithm of BER: 0.7dBHelped
Use the cyclically equivariant decoder instead of the hyper-graph-network decoderNeural decoding of BCH codes · BCH(63,36) and BCH(63,45)decoding performance: 0.3dBHelped
Add boosting by repeatedly feeding decoder output LLRs back as inputsNeural decoder · BCH and punctured RM codesnegative natural logarithm of BERHelped
Increase list size from ℓ=1 to ℓ=n+1List decoder · BCH and punctured RM codesnegative natural logarithm of FER: up to 3dBHelped
Use list size ℓ=8 rather than no list decodingNeural list decoder · BCH and punctured RM codesdecoding performance: 0.7∼0.9dBHelped
Use list size ℓ=n+1List decoder · High-rate codes (rate ≥ 0.7)gap to ML decoder: no larger than 0.1dBHelped
Use list size ℓ=n+1List decoder · Codes with rate ≤ 0.5gap to ML lower bound: larger than 1dBHurt
Replace the (n-k)×n parity matrix with a randomly extended n×n matrix (ablation)N18 feed-forward neural decoder · BCH(63,24), BCH(63,36), BCH(63,45), and PRM(63,22)negative natural logarithm of BER: 3.24 -> 3.27; 4.36 -> 4.38; 5.80 -> 5.78; 3.97 -> 3.97; 5.27 -> 5.28; 7.05 -> 7.07; 4.37 -> 4.49; 5.71 -> 5.81; 7.45 -> No clear effect
Add cyclic structure to the n×n parity matrix (ablation)N18 feed-forward neural decoder · BCH and punctured RM codesnegative natural logarithm of BER: 0.45dBHelped
Use the proposed cyclically equivariant decoder instead of N18 with the same n×n cyclic matrix (ablation)Neural decoding with n×n cyclic parity matrix · BCH and punctured RM codesnegative natural logarithm of BER: 0.25dBHelped
Use a cyclic n×n matrix instead of a randomly extended n×n matrix (ablation)N18 feed-forward neural decoder · BCH and punctured RM codesnegative natural logarithm of BER: 3.27 -> 3.67; 4.38 -> 5.08; 5.78 -> 6.78; 3.97 -> 4.42; 5.28 -> 5.93; 7.07 -> 7.84; 4.49 -> 4.87; 5.81 -> 6.19; 7.47 -> Helped
Use a cyclically equivariant decoder rather than the N18 FF decoder with the same cyclic parity matrix (ablation)Neural decoding of cyclic codes · BCH(63,24), BCH(63,36), BCH(63,45), and PRM(63,22)negative natural logarithm of BER: 3.67 -> 3.78; 5.08 -> 5.11; 6.78 -> 7.07; 4.42 -> 4.63; 5.93 -> 6.48; 7.84 -> 8.86; 4.87 -> 5.12; 6.19 -> 6.97; 7.76 -> Helped

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