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

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

通信学报 ›› 2017, Vol. 38 ›› Issue (3): 73-82.doi: 10.11959/j.issn.1000-436x.2017065

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^1,²,曾孝平¹,简鑫¹,周继华²,阮定良²,高乙文³

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

修回日期:2017-01-07 出版日期:2017-03-01 发布日期:2017-04-13
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。
基金资助:
国家自然科学基金资助项目(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)

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

Fan YANG^1,²,Xiao-ping ZENG¹,Xin JIAN¹,Ji-hua ZHOU²,Ding-liang RUAN²,Yi-wen GAO³

¹ College of Communication Engineering,Chongqing University,Chongqing 400044,China
² Chongqing Jinmei Communication Co.Ltd.,Chongqing 400030,China
³ China Mobile Group Chongqing Co.Ltd.,Chongqing 400044,China

Revised:2017-01-07 Online:2017-03-01 Published:2017-04-13
Supported by:
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)

摘要/Abstract

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。

关键词: 快时变信道, 自适应调制, 非数据辅助, 误差矢量幅度

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 improves by 0.82 bit·s^?1·Hz^?1.

Key words: rapidly time-varying channels, adaptive modulation, non data-aided, error vector magnitude

中图分类号:

TN929.5

杨凡,曾孝平,简鑫,周继华,阮定良,高乙文. 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,Ji-hua ZHOU,Ding-liang RUAN,Yi-wen GAO. Nondata-aided error vector magnitude based adaptive modulation over rapidly time-varying channels[J]. Journal on Communications, 2017, 38(3): 73-82.

图/表 9

图1

图2

表2

表1

NDA-EVM-AM算法复杂度分析"

算法步骤	算法计算式	时间复杂度
初始化调制阶数	$M_{1}^{0} = q (1) = Q A M$	O (1)
相干时间的符号数统计	$N = ⌈ \frac{T_{C}}{T_{s y m b o l}} ⌉$	O (1)
各个调制阶数的EVM计算	$ξ {[q (n)]}^{2} = \frac{2}{k + 1} {\sum_{j = 0}^{k} [σ_{n} (- b + μ_{j k, R}) φ (\frac{b - μ_{j k, R}}{σ_{n}}) + (μ_{j k, R}^{2} + σ_{n}^{2}) Q (\frac{- b + μ_{j k, R}}{σ_{n}})] +$ $\sum_{j = 0}^{k} [σ_{n} (b + μ_{j k, R}) φ (\frac{b - μ_{j k, R}}{σ_{n}}) + (μ_{j k, R}^{2} + σ_{n}^{2}) Q (\frac{b - μ_{j k, R}}{σ_{n}})] +$ $\sum_{i = 1}^{k} \sum_{j = 0}^{k} [σ_{n} (- b + μ_{j k, R}) φ (\frac{- b - μ_{j k, R}}{σ_{n}}) + (μ_{j k, R}^{2} + σ_{n}^{2}) Q (\frac{- b + μ_{j k, R}}{σ_{n}})] -$ $\sum_{i = 1}^{k} \sum_{j = 0}^{k} [σ_{n} (b + μ_{j k, R}) φ (\frac{b - μ_{j k, R}}{σ_{n}}) + (μ_{j k, R}^{2} + σ_{n}^{2}) Q (\frac{b - μ_{j k, R}}{σ_{n}})]}$	O(M)
各调制阶数对应的误码率计算	$η (ξ [q (n)]) = f (ξ [q (n)], q (n))$	O (lbM)
调制阶数调整	$\max M_{n} = q (n)$	O (1)
	$s . t . η (ξ [q [n]]) \leq B E R_{t h}$

表1

图3

图4

图5

图6

图7

参考文献 22

[1]	GOLDSMITH A J . Wireless communications[M]. New York: Cambridge University PressPress, 2005.
[2]	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.
[3]	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.
[4]	SVENSSON A . An introduction to adaptive QAM modulation schemes for known and predicted channels[J]. Proceedings of the IEEE, 2007,95(12): 2322-2336.
[5]	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.
[6]	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.
[7]	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.
[8]	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.
[9]	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.
[10]	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.
[11]	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.
[12]	VUTUKURU M , BALAKRISHNAN H , JAMIESON K . Cross-layer wireless bit rate adaptation[J]. ACM SIGCOMM Computer Communication Review, 2009,39(4): 3-14.
[13]	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.
[14]	SEN S , SANTHAPURI N , CHOUDHURY R R ,et al. AccuRate:constellation based rate estimation in wireless networks[C]// NSDI. 2010: 175-190.
[15]	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.
[16]	CHOUITEM R , . EVM based AMC for an OFDM system[C]// Wireless Telecommunications Symposium. 2010: 1-5.
[17]	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.
[18]	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.
[19]	JAKES W C , COX D C . Microwave mobile communications[M]. Wiley-IEEE Press, 1994.
[20]	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.
[21]	3GPP R4-050388.High speed environment channel models[S]. 3GPP TSG-RAN Working Group 4(Radio) Meeting, 2005:5.
[22]	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.

仿真参数	数值
目标误码率BER _th	10^?3
发送符号数量	10⁹
载波频率	2.4 GHz
发送功率P 0	1W
数据符号周期Tsymbol	0.1 ms
辅助数据间隔T DA	10 ms
调制阶数选择MQAM	NoTx/QAM/16QAM/64QAM

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

在线阅读

PDF下载

可视化

被引次数

摘要/Abstract

引用本文

使用本文

图/表 9

参考文献 22

相关文章 10

Metrics

推荐阅读 0

[1]	唐明,陈曦. 面向中短距光纤通信系统的多维自适应传输技术[J]. 通信学报, 2019, 40(11): 156-170.
[2]	曾孝平,毛海伟,杨凡,简鑫,李诗琪,蒋欣,方伟. Nakagami-m衰落信道下D2D通信自适应调制算法研究[J]. 通信学报, 2018, 39(9): 31-42.
[3]	杨凡,曾孝平,毛海伟,简鑫,杜得荣,谭晓衡,高乙文. κ−μ阴影衰落信道下非数据辅助的误差矢量幅度性能分析[J]. 通信学报, 2018, 39(5): 177-188.
[4]	田攀,李明齐,芮赟,郑敏,卜智勇. 基于正交变换的广义多载波系统自适应传输方案[J]. 通信学报, 2012, 33(10): 91-100.
[5]	游长江,朱晓维,柳靖,张晓东. 基于射频前端的动态频谱共享无线通信系统工作信道选择分析[J]. 通信学报, 2011, 32(4): 147-152.
[6]	崔杰,常永宇,刘淑慧,杨大成. 基于TD-HSDPA系统的新型调度算法[J]. 通信学报, 2010, 31(3): 75-81.
[7]	曾端阳,宋荣方. 自适应TDD MIMO-OFDM系统中一种补偿干扰不对称的改进方法[J]. 通信学报, 2009, 30(4): 106-112.
[8]	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.
[9]	肖峻峰,邱晶,程时端. 相关衰落信道下的一种层间联合自适应SR-ARQ传输机制[J]. 通信学报, 2006, 27(4): 7-15.
[10]	陈书平,堵久辉,王文博. TDD-HSDPA/SA系统链路自适应技术性能分析及改进[J]. 通信学报, 2006, 27(1): 127-134.