Nakagami-m衰落信道下D2D通信自适应调制算法研究
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摘要
针对Nakagami-m衰落信道中,D2D(device to device)通信频谱利用率低的问题,设计一种基于非数据辅助误差矢量幅度(NDA-EVM, nondata-aided error vector magnitude)的自适应调制算法。以NDA-EVM作为信道质量评估参量,根据最大似然准则建立NDA-EVM与误码率(SER, symbol error ratio)的定量关系,据此设计SER约束下的MQAM调制方式切换机制;结合有限状态马尔可夫信道模型以及数据缓存处理,分析系统的分组丢失性能和频谱利用率。理论分析和仿真实验表明,基于NDA-EVM的自适应调制算法在不同调制方式的阈值下的准确性,明确系统QoS与分组丢失率的关系;在保持低算法复杂度的同时,提高了系统频谱利用率,对比传统算法,频谱利用率提升了0.752 bit·(s·Hz)-1。
A novel adaptive modulation based on nondata-aided error vector magnitude(NDA-EVM) was proposed to solve the problem of lower spectral efficiency in device to device(D2D) communication over Nakagami-m fading channel.The NDA-EVM was used to evaluate the channel quality.The relationship between NDA-EVM and symbol error ratio(SER) was derived according to the maximum likelihood method.Thereafter,the adaptive modulation mechanism of MQAM with the SER constraint was designed.Considering the joint effect of finite-length queuing and fading channel,the system packet loss rate and spectral efficiency was analyzed.Theoretical analysis and simulation experiments show that NDA-EVM based adaptive modulation accurately gives the modulation threshold and evaluates the relationship between QoS and packet loss rate,the proposed algorithm improves system spectral efficiency while maintaining low algorithm complexity,spectral efficiency improves by 0.752 bit·(s·Hz)-1,compared with traditional algorithm.
A novel adaptive modulation based on nondata-aided error vector magnitude(NDA-EVM) was proposed to solve the problem of lower spectral efficiency in device to device(D2D) communication over Nakagami-m fading channel.The NDA-EVM was used to evaluate the channel quality.The relationship between NDA-EVM and symbol error ratio(SER) was derived according to the maximum likelihood method.Thereafter,the adaptive modulation mechanism of MQAM with the SER constraint was designed.Considering the joint effect of finite-length queuing and fading channel,the system packet loss rate and spectral efficiency was analyzed.Theoretical analysis and simulation experiments show that NDA-EVM based adaptive modulation accurately gives the modulation threshold and evaluates the relationship between QoS and packet loss rate,the proposed algorithm improves system spectral efficiency while maintaining low algorithm complexity,spectral efficiency improves by 0.752 bit·(s·Hz)-1,compared with traditional algorithm.
引文
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[3]3GPP.Small cell enhancements for E-UTRA and E-UTRAN physical layer aspects(Release 12)[S].2013.
[4]SHAHINI A,BAGHERI A,SHAHZADI A.A unified approach to performance analysis of energy detection with diversity receivers over Nakagami-m fading channels[C]//2013 International Conference on IEEE Connected Vehicles and Expo(ICCVE).2013:707-712.
[5]JOSHI S,MALLIK R K.Analysis of dedicated and shared deviceto-device communication in cellular networks over Nakagami-m fading channels[J].IET Communications,2017,11(10):1600-1609.
[6]CHUN Y J,COTTON S L,DHILLON H S,et al.A stochastic geometric analysis of device-to-device communications operating over generalized fading channels[J].IEEE Transactions on Wireless Communications,2017,16(7):4151-4165.
[7]GOLDSMITH A.Wireless communications[M].UK:Cambridge University Press,2005.
[8]ALOUINI M S,GOLDSMITH A J.Adaptive modulation over Nakagami fading channels[J].Wireless Personal Communications,2000,13(1-2):119-143.
[9]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 on the optimal SNR threshold of AQAM system and its application in IEEE802.16e[J].Electronic Journal,2009,37(7):1465-1469.
[10]CHUNG S,GOLDSMITH A.Degrees of freedom in adaptive modulation:a unified view[J].IEEE Transactions on Communications,2001,49(9):1561-1571.
[11]JUDD G,WANG X H,PETER S.Efficient channel-aware rate adaptation in dynamic environments[C]//The 6th International Conference on Mobile Systems,Applications and Services.2008.
[12]THOMAS V A,KUMAR S,KALYANI S,et al.Error vector magnitude analysis of fading SIMO channels relying on MRC reception[J].IEEE Transactions on Communications,2016,64(4):1786-1797.
[13]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.
[14]杨凡,曾孝平,毛海伟,等.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.YANG F,ZENG X P,MAO H W,et al.Nondata-aided error vector magnitude performance analysis overκ-μshadowed fading channels[J].Journal on Communications,2018,39(5):177-188.
[15]SEN S,SANTHAPURI N,CHOUDHURY R R,et al.AccuRate:constellation based rate estimation in wireless networks[C]//Usenix Conference on Networked Systems Design and Implementation.2010:12.
[16]CHOUITEM R.EVM based AMC for an OFDM system[C]//Wireless Telecommunications Symposium.2010:1-5.
[17]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.YANG F,ZENG X P,JIAN X,et al.Nondata-aided error vector magnitude based adaptive modulation over rapidly time-varying channels[J].Journal on Communications,2017,38(3):73-82.
[18]WEBB W T,STEELE R.Variable rate QAM for mobile radio[J].IEEETransactions on Communications,1995,43(7):2223-2230.
[19]SHAFIK R A,RAHMAN S,ISLAM R.On the extended relationships among EVM,BER and SNR as performance metrics[C]//International Conference on Electrical and Computer Engineering.2006:408-411.
[20]WANG H S,MOAYERI N.Finite-state Markov channel-a useful model for radio communication channels[J].IEEE Transactions on Vehicular Technology,1995,44(1):163-171.
[21]LIU Q,ZHOU S,GIANNAKIS G B.Queuing with adaptive modulation and coding over wireless links:cross-Layer analysis and design[J].IEEE Transactions on Wireless Communications,2005,4(3):1142-1153.
[22]LIU Q,ZHOU S,GIANNAKIS G B.Cross-layer combining of adaptive modulation and coding with truncated ARQ over wireless links[J].IEEE Transactions on Wireless Communications,2004,3(5):1746-1755.