快时变信道下非数据辅助误差矢量幅度的自适应调制算法

杨凡; 曾孝平; 简鑫; 周继华; 阮定良; 高乙文

doi:10.11959/j.issn.1000-436x.2017065

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快时变信道下非数据辅助误差矢量幅度的自适应调制算法

学术论文 | 更新时间：2024-06-05

- 快时变信道下非数据辅助误差矢量幅度的自适应调制算法
- Nondata-aided error vector magnitude based adaptive modulation over rapidly time-varying channels
- 通信学报 2017年38卷第3期页码：73-82
- 作者机构：
  
  1. 重庆大学通信工程学院，重庆 400044
  2. 重庆金美通信有限责任公司，重庆 400030
  3. 中国移动通信集团重庆有限公司，重庆 400044
- 作者简介：
  
  [ "杨凡（1983-），男,湖北广水人，重庆大学博士生，重庆金美通信责任有限公司工程师，主要研究方向为无线宽带自适应传输、无线通信网络、下一代移动通信技术、无线通信中的编码技术等。" ]
  [ "曾孝平（1956-）,男，重庆人，博士，重庆大学教授、博士生导师，主要研究方向为航空移动通信、下一代移动通信、生物信号处理等。" ]
  [ "简鑫（1987-），男，四川自贡人，博士，重庆大学副教授，主要研究方向为统计数学、无线通信理论与技术、流量分析理论等。" ]
  [ "周继华（1979-），男，重庆人，博士，重庆金美通信有限责任公司研究员，主要研究方向为无线通信、移动互联网等。" ]
  [ "阮定良（1971-），男，重庆人，重庆金美通信有限责任公司高级工程师，主要研究方向为移动通信系统、数字信号处理、无线网络等。" ]
  [ "高乙文（1987-），女，重庆人，中国移动通信集团重庆有限公司校园中心经理，主要研究方向为移动通信网络、下一代移动通信系统等。" ]
- 基金信息：
  
  国家自然科学重大研究计划培育基金资助项目(91438104);国家自然科学基金资助项目(61501065);国家自然科学基金资助项目(61571069);国家自然科学基金资助项目(61601067);重庆市基础科学与前沿技术研究专项基金资助项目(CSTC2016JCYJA0021；);中央高校基本科研业务费基金资助项目(106112015CDJXY16002);中央高校基本科研业务费基金资助项目(106112016CDJXY160001)
- DOI：10.11959/j.issn.1000-436x.2017065
  中图分类号： TN929.5
- 网络出版日期：2017-03，
  
  纸质出版日期：2017-03-15
- 稿件说明：
移动端阅览
杨凡, 曾孝平, 简鑫, 等. 快时变信道下非数据辅助误差矢量幅度的自适应调制算法[J]. 通信学报, 2017,38(3):73-82.

Fan YANG, Xiao-ping ZENG, Xin JIAN, et al. Nondata-aided error vector magnitude based adaptive modulation over rapidly time-varying channels[J]. Journal on communications, 2017, 38(3): 73-82.
杨凡, 曾孝平, 简鑫, 等. 快时变信道下非数据辅助误差矢量幅度的自适应调制算法[J]. 通信学报, 2017,38(3):73-82. DOI： 10.11959/j.issn.1000-436x.2017065.

Fan YANG, Xiao-ping ZENG, Xin JIAN, et al. Nondata-aided error vector magnitude based adaptive modulation over rapidly time-varying channels[J]. Journal on communications, 2017, 38(3): 73-82. DOI： 10.11959/j.issn.1000-436x.2017065.

摘要

针对快时变信道下无线通信频谱利用率降低的问题，提出一种基于非数据辅助的误差矢量幅度的自适应调制（NDA-EVM-AM

nondata-aided error vector magnitude based adaptive modulation）算法，选取NDA-EVM作为反映快时变信道变化的特征参量并给出不同调制阶数的统一计算模

型，建立不同调制阶数NDA-EVM与误码率（BER）之间的关系并据此设计MQAM（multilevel quadrature amplitude modulation）调制阶数的快速调整机制。以高铁通信的快时变信道场景为例，数值仿真表明，相比DA-EVM（data-aided error vector magnitude）和信噪比估计，NDA-EVM估计具有最小均方根误差；NDA-EVM-AM算法可提高信道质量评估与调制阶数选择的准确性，相较于DA-EVM-AM（data-aided error vector magnitude based adaptive modulation）算法，调制阶数选择的正确率可提升7.9%，频谱利用率可提高0.53 bit·s

−1

·Hz

−1

；相较于SNR-AM（signal to noise ratio based adaptive modulation）算法，调制阶数选择的正确率可提升15.7%，频谱利用率可提高0.82 bit·s

−1

·Hz

−1

。

Abstract

A novel nondata-aided error vector magnitude based adaptive modulation(NDA-EVM-AM) was proposed to solve the problem of lower spectral efficiency over rapidly time-varying wireless channels.Namely

NDA-EVM was considered as a metric to reflect the rapid change of time-varying channels.The unified model to calculate different modulation order of NDA-EVM was analytically derived

with which the relationship between NDA-EVM and bit error rate (BER) for each modulation order was presented.Thereafter

the mechanism to adaptively select the modulation orders of multilevel quadrature amplitude modulation (MQAM) signals was designed to guarantee the predefined BER.Taking the two rapidly time-varying channels proposed for high-speed railway scenarios as examples

numerical results are conducted to verify the effectiveness of the proposed algorithm.It shows that NDA-EVM estimation has the lest root mean square error than data-aided error vector magnitude (DA-EVM) estimation and signal to noise ratio estimation.The proposed algorithm has better accuracy in aspects of channel quality estimation and modulation orders adjustment

Compared with conventional data-aided error vector magnitude based-adaptive modulation (DA-EVM-AM)

the accuracy improves by 7.9%

spectral efficiency improves by 0.53 bit·s

−1

·Hz

−1

and compared with signal to noise ratio based-adaptive modulation (SNR-AM)

the accuracy improves by 15.7%

spectral efficiency impr

oves by 0.82 bit·s

−1

·Hz

−1

关键词

Keywords

references

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