Asymptotic analysis of a partial feedback OFDMA system employing spatial, spectral, and multiuser diversity

Yichao Huang, B. Rao
{"title":"Asymptotic analysis of a partial feedback OFDMA system employing spatial, spectral, and multiuser diversity","authors":"Yichao Huang, B. Rao","doi":"10.1109/ICASSP.2012.6288601","DOIUrl":null,"url":null,"abstract":"Spatial and multiuser diversity are two types of diversity techniques for delivering reliable high-date-rate services. Spectral diversity comes from opportunistic scheduling in the frequency domain enabled by the OFDMA technique, and is influenced by partial feedback design. By employing the best-M partial feedback strategy, we provide a unified view of spatial, spectral, and multiuser diversity through asymptotic (in users) analysis. We examine the tail behavior of the distribution of the received channel quality information (CQI) at the scheduler to prove the type of convergence as well as to derive the asymptotic approximations for the average spectral efficiency under partial feedback. We investigate the application of our analysis to different spatial diversity schemes. Our derived results can be used to quickly determine the minimum required partial feedback in a general multiuser MIMO-OFDMA system.","PeriodicalId":6443,"journal":{"name":"2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2012-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICASSP.2012.6288601","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

Spatial and multiuser diversity are two types of diversity techniques for delivering reliable high-date-rate services. Spectral diversity comes from opportunistic scheduling in the frequency domain enabled by the OFDMA technique, and is influenced by partial feedback design. By employing the best-M partial feedback strategy, we provide a unified view of spatial, spectral, and multiuser diversity through asymptotic (in users) analysis. We examine the tail behavior of the distribution of the received channel quality information (CQI) at the scheduler to prove the type of convergence as well as to derive the asymptotic approximations for the average spectral efficiency under partial feedback. We investigate the application of our analysis to different spatial diversity schemes. Our derived results can be used to quickly determine the minimum required partial feedback in a general multiuser MIMO-OFDMA system.
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
采用空间、频谱和多用户分集的部分反馈OFDMA系统的渐近分析
空间分集和多用户分集是提供可靠的高数据速率服务的两种分集技术。频谱分集来自于OFDMA技术在频域的机会调度,并受部分反馈设计的影响。通过采用最佳m部分反馈策略,我们通过渐近(在用户中)分析提供了空间、频谱和多用户多样性的统一视图。我们研究了接收到的信道质量信息(CQI)在调度器上分布的尾部行为,以证明其收敛类型,并推导了部分反馈下平均频谱效率的渐近逼近。我们研究了我们的分析在不同空间多样性方案中的应用。我们的推导结果可用于快速确定一般多用户MIMO-OFDMA系统所需的最小部分反馈。
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
Scalable Multilevel Quantization for Distributed Detection Linear Model-Based Intra Prediction in VVC Test Model Practical Concentric Open Sphere Cardioid Microphone Array Design for Higher Order Sound Field Capture Embedding Physical Augmentation and Wavelet Scattering Transform to Generative Adversarial Networks for Audio Classification with Limited Training Resources Improving ASR Robustness to Perturbed Speech Using Cycle-consistent Generative Adversarial Networks
×
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