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High-Throughput Flexible Belief Propagation List Decoder for Polar Codes by Ren, Yuqing; Shen, Yifei; Zhang, Leyu; Kristensen, Andreas Toftegaard; Balatsoukas-Stimming, Alexios; Burg, Andreas; Zhang, Chuan is a scholarly article available to read on EtoBox.

What is High-Throughput Flexible Belief Propagation List Decoder for Polar Codes about?

Owing to its high parallelism, belief propagation (BP) decoding is highly amenable to high-throughput implementations and thus represents a promising solution for meeting the ultra-high peak data rate of future communication systems. However, for polar codes, the error-correcting performance of BP decoding is far inferior to that of the widely used CRC-aided successive cancellation list (SCL) decoding algorithm. To close the performance gap to SCL, BP list (BPL) decoding expands the exploration of candidate codewords through multiple permuted factor graphs (PFGs). From an implementation perspective, designing a unified and flexible hardware architecture for BPL decoding that supports various PFGs and code configurations presents a big challenge. In this paper, we propose the first hardware implementation of a BPL decoder for polar codes and overcome the implementation challenge by applying a hardware-friendly algorithm that generates flexible permutations on-the-fly. First, we derive the graph selection gain and provide a sequential generation (SG) algorithm to obtain a near-optimal PFG set. We further prove that any permutation can be decomposed into a combination of multiple fixe

Author

Ren, Yuqing; Shen, Yifei; Zhang, Leyu; Kristensen, Andreas Toftegaard; Balatsoukas-Stimming, Alexios; Burg, Andreas; Zhang, Chuan

Published

2022

Language

EN