A Unified Forward Error Correction Accelerator for Multi-Mode Turbo, LDPC, and Polar Decoding

Y. Yue, T. Ajayi, Xueyang Liu, Peiwen Xing, Zihan Wang, D. Blaauw, R. Dreslinski, Hun-Seok Kim
{"title":"A Unified Forward Error Correction Accelerator for Multi-Mode Turbo, LDPC, and Polar Decoding","authors":"Y. Yue, T. Ajayi, Xueyang Liu, Peiwen Xing, Zihan Wang, D. Blaauw, R. Dreslinski, Hun-Seok Kim","doi":"10.1145/3531437.3539726","DOIUrl":null,"url":null,"abstract":"Forward error correction (FEC) is a critical component in communication systems as the errors induced by noisy channels can be corrected using the redundancy in the coded message. This paper introduces a novel multi-mode FEC decoder accelerator that can decode Turbo, LDPC, and Polar codes using a unified architecture. The proposed design explores the similarities in these codes to enable energy efficient decoding with minimal overhead in the total area of the unified architecture. Moreover, the proposed design is highly reconfigurable to support various existing and future FEC standards including 3GPP LTE/5G, and IEEE 802.11n WiFi. Implemented in GF 12nm FinFET technology, the design occupies 8.47mm2 of chip area attaining 25% logic and 49% memory area savings compared to a collection of single-mode designs. Running at 250MHz and 0.8V, the decoder achieves per-iteration throughput and energy efficiency of 690Mb/s and 44pJ/b for Turbo; 740Mb/s and 27.4pJ/b for LDPC; and 950Mb/s and 45.8pJ/b for Polar.","PeriodicalId":116486,"journal":{"name":"Proceedings of the ACM/IEEE International Symposium on Low Power Electronics and Design","volume":"47 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the ACM/IEEE International Symposium on Low Power Electronics and Design","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3531437.3539726","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Forward error correction (FEC) is a critical component in communication systems as the errors induced by noisy channels can be corrected using the redundancy in the coded message. This paper introduces a novel multi-mode FEC decoder accelerator that can decode Turbo, LDPC, and Polar codes using a unified architecture. The proposed design explores the similarities in these codes to enable energy efficient decoding with minimal overhead in the total area of the unified architecture. Moreover, the proposed design is highly reconfigurable to support various existing and future FEC standards including 3GPP LTE/5G, and IEEE 802.11n WiFi. Implemented in GF 12nm FinFET technology, the design occupies 8.47mm2 of chip area attaining 25% logic and 49% memory area savings compared to a collection of single-mode designs. Running at 250MHz and 0.8V, the decoder achieves per-iteration throughput and energy efficiency of 690Mb/s and 44pJ/b for Turbo; 740Mb/s and 27.4pJ/b for LDPC; and 950Mb/s and 45.8pJ/b for Polar.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
用于多模Turbo、LDPC和Polar解码的统一前向纠错加速器
前向纠错(FEC)是通信系统中的一个重要组成部分,它可以利用编码信息中的冗余来纠正由噪声信道引起的错误。本文介绍了一种新的多模FEC译码加速器,该加速器采用统一的架构,可以译码Turbo码、LDPC码和Polar码。提出的设计探索了这些代码的相似之处,以便在统一架构的总面积中以最小的开销实现节能解码。此外,提出的设计具有高度可重构性,可支持各种现有和未来的FEC标准,包括3GPP LTE/5G和IEEE 802.11n WiFi。采用GF 12nm FinFET技术实现,与单模设计相比,该设计占地8.47mm2的芯片面积,实现了25%的逻辑和49%的存储面积节省。在250MHz和0.8V下,Turbo实现了690Mb/s和44pJ/b的单次迭代吞吐量和能量效率;LDPC为740Mb/s, 27.4pJ/b;Polar为950Mb/s和45.8pJ/b。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
A Domain-Specific System-On-Chip Design for Energy Efficient Wearable Edge AI Applications HOGEye: Neural Approximation of HOG Feature Extraction in RRAM-Based 3D-Stacked Image Sensors Improving Performance and Power by Co-Optimizing Middle-of-Line Routing, Pin Pattern Generation, and Contact over Active Gates in Standard Cell Layout Synthesis Exploiting successive identical words and differences with dynamic bases for effective compression in Non-Volatile Memories Canopy: A CNFET-based Process Variation Aware Systolic DNN Accelerator
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1