Papers
Topics
Authors
Recent
Detailed Answer
Quick Answer
Concise responses based on abstracts only
Detailed Answer
Well-researched responses based on abstracts and relevant paper content.
Custom Instructions Pro
Preferences or requirements that you'd like Emergent Mind to consider when generating responses
Gemini 2.5 Flash
Gemini 2.5 Flash 65 tok/s
Gemini 2.5 Pro 47 tok/s Pro
GPT-5 Medium 39 tok/s Pro
GPT-5 High 32 tok/s Pro
GPT-4o 97 tok/s Pro
Kimi K2 164 tok/s Pro
GPT OSS 120B 466 tok/s Pro
Claude Sonnet 4 38 tok/s Pro
2000 character limit reached

An Efficient List Decoder Architecture for Polar Codes (1409.4744v2)

Published 16 Sep 2014 in cs.AR, cs.IT, and math.IT

Abstract: Long polar codes can achieve the symmetric capacity of arbitrary binary-input discrete memoryless channels under a low complexity successive cancelation (SC) decoding algorithm. However, for polar codes with short and moderate code length, the decoding performance of the SC algorithm is inferior. The cyclic redundancy check (CRC) aided successive cancelation list (SCL) decoding algorithm has better error performance than the SC algorithm for short or moderate polar codes. In this paper, we propose an efficient list decoder architecture for the CRC aided SCL algorithm, based on both algorithmic reformulations and architectural techniques. In particular, an area efficient message memory architecture is proposed to reduce the area of the proposed decoder architecture. An efficient path pruning unit suitable for large list size is also proposed. For a polar code of length 1024 and rate $\frac{1}{2}$, when list size $L=2$ and 4, the proposed list decoder architecture is implemented under a TSMC 90nm CMOS technology. Compared with the list decoders in the literature, our decoder achieves 1.33 to 1.96 times hardware efficiency.

Citations (73)
List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.

Summary

We haven't generated a summary for this paper yet.

Dice Question Streamline Icon: https://streamlinehq.com

Follow-Up Questions

We haven't generated follow-up questions for this paper yet.

Authors (2)