Nondata-aided error vector magnitude based adaptive modulation over rapidly time-varying channels

Fan YANG; Xiao-ping ZENG; Xin JIAN; Ji-hua ZHOU; Ding-liang RUAN; Yi-wen GAO

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

您当前的位置：

首页 >

文章列表页 >

Nondata-aided error vector magnitude based adaptive modulation over rapidly time-varying channels

Papers | 更新时间：2024-06-05

- Nondata-aided error vector magnitude based adaptive modulation over rapidly time-varying channels
- Journal on Communications Vol. 38, Issue 3, Pages: 73-82(2017)
- 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：
- 基金信息：
  
  The Training Program of the Major Research Plan of the National Natural Science Foundation of China(91438104);The National Natural Science Foundation of China(61501065);The National Natural Science Foundation of China(61571069);The National Natural Science Foundation of China(61601067);The Chongqing Research Program of Basic Research and Fourier Technology(CSTC2016JCYJA0021；);The Fundamental Re-search Funds of the Central Universities(106112015CDJXY16002);The Fundamental Re-search Funds of the Central Universities(106112016CDJXY160001)
- DOI：10.11959/j.issn.1000-436x.2017065
  CLC： TN929.5
- Online First：2017-03，
  
  Published：15 March 2017
- 稿件说明：
移动端阅览
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：

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

GOLDSMITH A J . Wireless communications [M ] . New York : Cambridge University PressPress , 2005 .

LYE S C K , ARIFIANTO M S , YEW H T , et al . Performance of signal-to-noise ratio estimator with adaptive modulation [C ] // 2012 Sixth Asia Modelling Symposium (AMS) . 2012 : 215 - 219 .

FERNÁNDEZ-PLAZAOLA U , MARTOS-NAYA E , PARIS J F , et al . Adaptive modulation for MIMO systems with channel prediction errors [J ] . IEEE Transactions on Wireless Communications , 2010 , 9 ( 8 ): 2516 - 2527 .

SVENSSON A . An introduction to adaptive QAM modulation schemes for known and predicted channels [J ] . Proceedings of the IEEE , 2007 , 95 ( 12 ): 2322 - 2336 .

ZALONIS A , MILIOU N , DAGRES I , et al . Trends in adaptive modulation and coding [J ] . Advances in Electronics and Telecommunications , 2010 , 1 ( 1 ): 104 - 111 .

CHOI B , HANZO L . Optimum mode-switching-assisted constant-power single-and multicarrier adaptive modulation [J ] . IEEE Transactions on Vehicular Technology , 2003 , 52 ( 3 ): 536 - 560 .

高欢芹 , 酆广增 , 朱琦 . AQAM系统最佳信噪比门限值的研究及其在IEEE802.16e中的应用 [J ] . 电子学报 , 2009 , 37 ( 7 ): 1465 - 1469 .

GAO H Q , FENG G Z , ZHU Q.Research of optimum SNR thresholds of AQAM system and its application in IEEE802 . 16e [J ] . Acta Electronica Sinica , 2009 , 37 ( 7 ): 1465 - 1469 .

钱小勇 , 沈连丰 , 胡静 . WPAN/WLAN 应用环境下基于 PER 的链路自适应算法 [J ] . 通信学报 , 2003 , 24 ( 4 ): 94 - 103 .

QIAN X Y , SHEN L F , HU J . Algorithm based on packet error ratio of link adaptation [J ] . Journal on Communications , 2003 , 24 ( 4 ): 94 - 103 .

CHUNG S T , GOLDSMITH A J . Degrees of freedom in adaptive modulation:a unified view [J ] . IEEE Transactions on Communications , 2001 , 49 ( 9 ): 1561 - 1571 .

张冬梅 , 徐友云 , 蔡跃明 . OFDMA 系统中的功率与比特高效分配算法 [J ] . 通信学报 , 2008 , 29 ( 4 ): 108 - 113 .

ZHANG D M , XU Y Y , CAI Y M . High efficiency algorithm of power and bit allocation for OFDMA system [J ] . Journal on Communications , 2008 , 29 ( 4 ): 108 - 113 .

VUTUKURU M , BALAKRISHNAN H , JAMIESON K . Cross-layer wireless bit rate adaptation [J ] . ACM SIGCOMM Computer Communication Review , 2009 , 39 ( 4 ): 3 - 14 .

SHAFIK R A , RAHMAN M S , ISLAM A H M , et al . On the error vector magnitude as a performance metric and comparative analysis [C ] // International Conference on Emerging Technologies . 2006 : 27 - 31 .

SEN S , SANTHAPURI N , CHOUDHURY R R , et al . AccuRate:constellation based rate estimation in wireless networks [C ] // NSDI . 2010 : 175 - 190 .

MAHMOUD H A , ARSLAN H . Error vector magnitude to SNR conversion for nondata-aided receivers [J ] . IEEE Transactions on Wireless Communications , 2009 , 8 ( 5 ): 2694 - 2704 .

CHOUITEM R , . EVM based AMC for an OFDM system [C ] // Wireless Telecommunications Symposium . 2010 : 1 - 5 .

HASSIB M D , MANDEEP J S , ISMAIL M , et al . Adaptive modulation for space-time block code OFDM systems based on EVM [J ] . IEICE Communications Express , 2013 , 2 ( 2 ): 74 - 79 .

GOMADAM K S , JAFAR S A . Modulation and detection for simple receivers in rapidly time-varying channels [J ] . IEEE Transactions on Communications , 2007 , 55 ( 3 ): 529 - 539 .

JAKES W C , COX D C . Microwave mobile communications [M ] . Wiley-IEEE Press , 1994 .

SHAFIK R A , RAHMAN M S , ISLAM A H M . On the extended relationships among EVM,BER and SNR as performance metrics [C ] // International Conference on Electrical and Computer Engineering , 2006 : 408 - 411 .

3GPP R4-050388.High speed environment channel models [S ] . 3GPP TSG-RAN Working Group 4(Radio) Meeting , 2005 :5.

3GPP Technical Report 25.104,V8.9.0 Release 8.Technical specification group radio access network,base station (BS) radio transmission and reception (FDD) [R ] . 2009 .

Views

1841

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Study on adaptive modulation in D2D communications over Nakagami-m fading channel

Asymmetric clipped optical OFDM adaptive indexing modulation scheme under turbulent channels

Nondata-aided error vector magnitude performance analysis over κ−μ shadowed fading channel

High efficiency algorithm of power and bit allocation for OFDMA system

Analysis of operational channel selection of dynamic spectrum sharing wireless communication system based on RF front-end

Related Author

Wei FANG

Xiaoping ZENG

Haiwei MAO

Fan YANG

Xin JIAN

Shiqi LI

Xin JIANG

ZHANG Hongyan

Related Institution

The College of Communication Engineering,Chongqing University

School of Electrical and Electronic Engineering, Chongqing University of Technology

Beijing Aeronautical Science ＆Technology Research Institute

School of Computer and Communication, Lanzhou University of Science and Technology

Chongqing Jinmei Communication Co.,Ltd.

AI问答

⁰