基于统计特性的多天线能效优化
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摘要
针对多天线链路,提出基于信道统计特性的传输与能效优化方案.接收端采用基于训练序列的最小均方误差估计获得信道估计值,并基于码本进行有限反馈,从而使得发送端获得信道状态信息并进行波束赋形的数据传输.针对这一传输过程进行能效优化,根据其信道统计特性对最小均方误差估计值和估计误差及码本反馈量化值和反馈误差进行统计分析,进而形成针对能效度量的统计分析和能效优化模型,并给出能效最大化的训练功率及数据功率分配方案.仿真结果表明,与已有静态功率分配方案相比,提出方案可以有效地提高系统能效性,且在快速时变信道环境下,以极低复杂度获得趋近于已有动态功率分配方案的性能.
An energy efficient transmission and optimization scheme was proposed for the link with multiple antennas. The channels were estimated by the receiver by using MMSE estimation with the trainings,and then were fed back to the estimated channels based on the codebook. Therefore,the transmitter transmitted data with beam forming by exploiting this feedback channel state information. To optimize the energy efficiency of the transmission,the statistics of the MMSE estimate,the estimation error, the quantized feedback value and feedback error were analyzed based on the statistical characteristic of channels. Subsequently, the statistics of energy efficiency was obtained and the optimization model of energy efficiency was also proposed,based on which the energy efficient training power and data power were given. Simulation results show that the proposed scheme can effectively improve the system energy efficiency in compared with the existing static power allocation scheme,and also can obtain the similar performance with the existing dynamic power allocation scheme in fast time varying channels but with very low complexity.
An energy efficient transmission and optimization scheme was proposed for the link with multiple antennas. The channels were estimated by the receiver by using MMSE estimation with the trainings,and then were fed back to the estimated channels based on the codebook. Therefore,the transmitter transmitted data with beam forming by exploiting this feedback channel state information. To optimize the energy efficiency of the transmission,the statistics of the MMSE estimate,the estimation error, the quantized feedback value and feedback error were analyzed based on the statistical characteristic of channels. Subsequently, the statistics of energy efficiency was obtained and the optimization model of energy efficiency was also proposed,based on which the energy efficient training power and data power were given. Simulation results show that the proposed scheme can effectively improve the system energy efficiency in compared with the existing static power allocation scheme,and also can obtain the similar performance with the existing dynamic power allocation scheme in fast time varying channels but with very low complexity.
引文
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[2]JIANG C,CIMINI L J.Energy-efficient transmission for MIMO interference channels[J].IEEE Transactions on Wireless Communications,2013,12(6):2988-2999.
[3]KIM H S,DANESHRAD B.Energy-aware link adaptation for MIMO-OFDM based wireless communication[C]∥2008 IEEE Military Communications Conference.San Diego:IEEE,2008:1-7.
[4]CHEN J,WONG K K.Improving energy efficiency for multiuser MIMO systems with effective capacity constraints[C]∥Vehicular Technology Conference,2009.Barcelona:IEEE,2009:1-5.
[5]MUSAVIAN L,LE-NGOC T.Energy-efficient power allocation over nakaigami-fading channels under delayoutage constraints[J].IEEE Transactions on Wireless Communications,2014,13(8):4081-4091.
[6]WU Q,CHEN W,TAO M,et al.Resource allocation for joint transmitter and receiver energy efficiency maximization in downlink OFDMA systems[J].IEEE Transactions on Communications,2015,63(2):416-430.
[7]CHEN L,WEI G.Energy-efficient power allocation for training-based multiple-input multiple-output system with and without feedback[J].IET Communications,2013,7(15):1697-1707.
[8]WANG Y,LI C,HUANG Y,et al.Energy-efficient optimization for downlink massive MIMO FDD systems with transmit-side channel correlation[J].IEEE Transactions on Vehicular Technology,2016,65(9):7228-7243.
[9]ZHANG Y,ZHU W P.Energy-efficient pilot and data power allocation in massive MIMO communication systems based on MMSE channel estimation[C]∥2016 IEEE International Conference on Acoustics,Speech and Signal Processing(ICASSP).Shanghai:IEEE,2016:3571-3575.
[10]YANG R,ZHENG C,WANG Z,et al.Energy-efficient dynamic power allocation in multi-antenna transmissions with imperfect channel estimation and feedback[J].Electronics Letters,2015,51(21):1711-1713.
[11]SAMARDZIJA D,MANDAYAM N.Pilot-assisted estimation of MIMO fading channel response and achievable data rates[J].IEEE Transactions on Signal Processing,2003,51(11):2882-2890.
[12]ZHANG L,SONG L,MA M,et al.On the minimum differential feedback for time-correlated MIMO rayleigh block-fading channels[J].IEEE Transactions on Communications,2012,60(2):411-420.
[13]JUNIL C,CLERCKX B,KIM K I,et al.Multiple-input multiple-output(MIMO)communication system using a codebook and method of designing the codebook:Patent9,319,251[P].2016-04-19.
[14]周国兵,吴建鑫,周嵩.一种基于近邻表示的聚类方法[J].软件学报,2015,26(11):2847-2855.ZHOU G B,WU J X,ZHOU S.Clustering method based on nearest neighbors representation[J].Journal of Software,2015,26(11):2847-2855.(in Chinese)
[15]THOMAS J A,COVER T M.Elements of information theory[M].New York:Wiley,2006:137-196.
[16]ZHANG F.Matrix theory:basic results and techniques[M].London:Springer Science&Business Media,2011:325-372.
[17]匡继昌.常用不等式[M].4版.济南:山东科学技术出版社,2010:65-121.