Improved Acceptance Criteria for Speculative Successive Cancellation Decoding of Polar Codes

📅 2026-08-10
📈 Citations: 0
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🤖 AI Summary
This work addresses the challenge of balancing decoding efficiency and error-correction performance in polar codes for high-throughput, low-latency data channels. The authors propose an enhanced speculative successive cancellation (Spec-SC) decoding architecture that executes left and right decoding branches in parallel and introduces a novel stopping criterion based on Hamming and ellipsoidal distances, significantly accelerating decoding at low-rate nodes. Additionally, codeword membership detection is integrated to optimize performance at high-rate nodes. The proposed method achieves substantially lower decoding latency compared to both fast simplified successive cancellation (FSSC) and the original Spec-SC schemes, while incurring negligible degradation in block error rate.
📝 Abstract
Next-generation data-channel applications of polar codes demand decoding algorithms with high throughput and low latency. The recently proposed speculative successive cancellation (Spec-SC) decoding reduces average decoding latency by speculatively executing the right branch of successive cancellation (SC) decoding in parallel with the left branch, verifying the result once the g-function is computed. In this paper, we propose new acceptance criteria based on Hamming distance and ellipsoidal distance that improve acceptance rates, enabling greater speed-ups for lower-rate nodes. We further show that combining code membership testing with speculative decoding accelerates high-rate nodes as well. Numerical results confirm that both approaches outperform fast simplified SC (FSSC) decoding and Spec-SC with the original acceptance condition in terms latency by a wide margin, with virtually identical error-rate performance.
Problem

Research questions and friction points this paper is trying to address.

polar codes
speculative decoding
decoding latency
acceptance criteria
throughput
Innovation

Methods, ideas, or system contributions that make the work stand out.

speculative decoding
acceptance criteria
polar codes
Hamming distance
ellipsoidal distance
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Marvin Rübenacke
Marvin Rübenacke
Institute of Telecommunications, University of Stuttgart
Channel CodingPolar CodesAutomorphism Ensemble DecodingLDPC CodesIterative Decoding
R
Ryan Seah
Department of Electrical and Computer Engineering, McGill University, Montréal, Québec, Canada
W
Warren J. Gross
Department of Electrical and Computer Engineering, McGill University, Montréal, Québec, Canada