Novel ACE Scheme for PAPR Reduction of High Broadband OFDM Systems

Yuzhuo Liu, Yong Wang
{"title":"Novel ACE Scheme for PAPR Reduction of High Broadband OFDM Systems","authors":"Yuzhuo Liu, Yong Wang","doi":"10.1109/ICCT46805.2019.8947241","DOIUrl":null,"url":null,"abstract":"The high broadband Orthogonal Frequency Division Multiplexing (OFDM) system is characterized by high-order constellation and a large of sub-carriers. In order to overcome the major drawback of high Peak-to-Average Power Ratio (PAPR) of OFDM signal, traditional Active Constellation Extension (ACE) techniques maybe pay more price, such as increasing the iteration numbers, thus, costing the more system resources. To address this challenge, a novel Pre-distortion ACE (PD-ACE) scheme is proposed in this paper. By defining a special expandable region for internal constellation and extending the original constellation points, PD-ACE can significantly reduce the PAPR level with only one iteration, thereby, not only increasing the convergence speed, but also decreasing the complexity of system implementation. Simulation results show that, at the expense of acceptable BER performance, the proposed scheme exhibits a better performance for PAPR reduction with low computation complexity compared with traditional methods.","PeriodicalId":306112,"journal":{"name":"2019 IEEE 19th International Conference on Communication Technology (ICCT)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 19th International Conference on Communication Technology (ICCT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCT46805.2019.8947241","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

The high broadband Orthogonal Frequency Division Multiplexing (OFDM) system is characterized by high-order constellation and a large of sub-carriers. In order to overcome the major drawback of high Peak-to-Average Power Ratio (PAPR) of OFDM signal, traditional Active Constellation Extension (ACE) techniques maybe pay more price, such as increasing the iteration numbers, thus, costing the more system resources. To address this challenge, a novel Pre-distortion ACE (PD-ACE) scheme is proposed in this paper. By defining a special expandable region for internal constellation and extending the original constellation points, PD-ACE can significantly reduce the PAPR level with only one iteration, thereby, not only increasing the convergence speed, but also decreasing the complexity of system implementation. Simulation results show that, at the expense of acceptable BER performance, the proposed scheme exhibits a better performance for PAPR reduction with low computation complexity compared with traditional methods.
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
一种降低高宽带OFDM系统PAPR的ACE新方案
高宽带正交频分复用(OFDM)系统具有高阶星座和大量子载波的特点。传统的主动星座扩展(ACE)技术为了克服OFDM信号峰值平均功率比(PAPR)高的主要缺点,可能要付出更多的代价,如增加迭代次数,从而消耗更多的系统资源。为了解决这一问题,本文提出了一种新的预失真ACE (PD-ACE)方案。PD-ACE通过为内部星座定义一个特殊的可扩展区域,对原有星座点进行扩展,只需一次迭代即可显著降低PAPR水平,从而提高了收敛速度,降低了系统实现的复杂性。仿真结果表明,在降低误码率的前提下,与传统方法相比,该方案具有较低的计算复杂度和较好的PAPR降低性能。
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
An Improved Sound Source Location Method for MEMS Microphone Array A Spatio-Temporal Traffic Forecasting Model for Base Station in Cellular Network Fall Detection Based on Colorization Coded MHI Combining with Convolutional Neural Network Research on the Application of Visual Cryptography in Cultural and Creative Artworks Performance Comparison and Evaluation of Indoor Positioning Technology Based on Machine Learning Algorithms
×
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