有限位分辨率快速傅里叶变换的信息瓶颈优化

Clemens-Konrad Mueller, Steffen Steiner, Volker Kuehn
{"title":"有限位分辨率快速傅里叶变换的信息瓶颈优化","authors":"Clemens-Konrad Mueller, Steffen Steiner, Volker Kuehn","doi":"10.1109/ISCC55528.2022.9913001","DOIUrl":null,"url":null,"abstract":"The trend towards larger bandwidths in mobile communications requires coarse quantization to obtain energy efficient analog-to-digital converters. The question is whether quantization and subsequent processing can be optimized with respect to relevant mutual information. Current standards rely on orthogonal frequency division multiplexing (OFD M) as air interface and require the implementation of an fast Fourier transform (FFT). Inspired by the efficient implementation of low density parity check (LDPC) decoders via lookup-tables optimized by the information bottleneck (IB) method, we suggest to approximate the computation of intermediate quantities inside the FFT with IB-optimized lookup-tables being designed offline. Consequently, the FFT only relies on the mapping quantization indices for which the flow of relevant information is optimized.","PeriodicalId":309606,"journal":{"name":"2022 IEEE Symposium on Computers and Communications (ISCC)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Information Bottleneck Optimization of a Finite Bit Resolution Fast Fourier Transform\",\"authors\":\"Clemens-Konrad Mueller, Steffen Steiner, Volker Kuehn\",\"doi\":\"10.1109/ISCC55528.2022.9913001\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The trend towards larger bandwidths in mobile communications requires coarse quantization to obtain energy efficient analog-to-digital converters. The question is whether quantization and subsequent processing can be optimized with respect to relevant mutual information. Current standards rely on orthogonal frequency division multiplexing (OFD M) as air interface and require the implementation of an fast Fourier transform (FFT). Inspired by the efficient implementation of low density parity check (LDPC) decoders via lookup-tables optimized by the information bottleneck (IB) method, we suggest to approximate the computation of intermediate quantities inside the FFT with IB-optimized lookup-tables being designed offline. Consequently, the FFT only relies on the mapping quantization indices for which the flow of relevant information is optimized.\",\"PeriodicalId\":309606,\"journal\":{\"name\":\"2022 IEEE Symposium on Computers and Communications (ISCC)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-06-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE Symposium on Computers and Communications (ISCC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISCC55528.2022.9913001\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE Symposium on Computers and Communications (ISCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCC55528.2022.9913001","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

移动通信中更大带宽的趋势需要粗量化来获得节能的模数转换器。问题是量化和后续处理是否可以根据相关的互信息进行优化。目前的标准依赖于正交频分复用(OFD M)作为空中接口,并要求实现快速傅里叶变换(FFT)。受低密度奇偶校验(LDPC)解码器通过信息瓶颈(IB)方法优化的查找表高效实现的启发,我们建议使用离线设计的IB优化的查找表来近似FFT内部中间量的计算。因此,FFT仅依赖于相关信息流优化的映射量化指标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Information Bottleneck Optimization of a Finite Bit Resolution Fast Fourier Transform
The trend towards larger bandwidths in mobile communications requires coarse quantization to obtain energy efficient analog-to-digital converters. The question is whether quantization and subsequent processing can be optimized with respect to relevant mutual information. Current standards rely on orthogonal frequency division multiplexing (OFD M) as air interface and require the implementation of an fast Fourier transform (FFT). Inspired by the efficient implementation of low density parity check (LDPC) decoders via lookup-tables optimized by the information bottleneck (IB) method, we suggest to approximate the computation of intermediate quantities inside the FFT with IB-optimized lookup-tables being designed offline. Consequently, the FFT only relies on the mapping quantization indices for which the flow of relevant information is optimized.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信