高速移动环境下基于动态CSI的MIMO系统改进模代数预编码
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摘要
针对高速移动场景下信道快时变特性给多输入多输出(Multiple Input Multiple Output,MIMO)系统预编码带来的技术挑战,提出基于动态信道状态信息(Channel State Information,CSI)的MIMO系统改进模代数预编码(Tomlinson-Harashima Precoding,THP)算法.该算法利用信道统计量信息以及相关性构建动态CSI模型,更准确实时地体现当前信道状况;进一步地,提出一种基于循环遍历搜索的多用户调度算法,以最大化信干噪比为目标进行用户调度,且将多用户调度算法应用到THP中,提高了预编码精度.仿真结果表明,所提算法相比传统预编码算法具有更优的误码率性能和信道容量,验证了所提算法能有效地适应高速移动场景.
Aiming at the technical challenges brought about by the fast time-varying characteristics of the channel in high-speed scenes to precoding in multiple input multiple output(MIMO) system,this paper proposes an improved Tomlinson-Harashima precoding(THP) algorithm for MIMO systems based on the dynamic channel state information(CSI) model.Channel statistical information and correlations are exploited to compensate instantaneous CSI,which could reflect current real-time channel status exactly.Further,aimed at maximizing the signal to interference plus noise ratio,a multi-user scheduling algorithm based on loop traversal search is proposed.And the multi-user scheduling algorithm is applied to THP,which could improve the precoding accuracy of the traditional THP.Simulation results show that the proposed scheme can be efficiently applied to high-speed mobile scenario,and improve bit error ratio performance as well as channel capacity.
Aiming at the technical challenges brought about by the fast time-varying characteristics of the channel in high-speed scenes to precoding in multiple input multiple output(MIMO) system,this paper proposes an improved Tomlinson-Harashima precoding(THP) algorithm for MIMO systems based on the dynamic channel state information(CSI) model.Channel statistical information and correlations are exploited to compensate instantaneous CSI,which could reflect current real-time channel status exactly.Further,aimed at maximizing the signal to interference plus noise ratio,a multi-user scheduling algorithm based on loop traversal search is proposed.And the multi-user scheduling algorithm is applied to THP,which could improve the precoding accuracy of the traditional THP.Simulation results show that the proposed scheme can be efficiently applied to high-speed mobile scenario,and improve bit error ratio performance as well as channel capacity.
引文
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[14] 王毅,钱叶旺,林艳,等.时间相关信道下分布式大规模MIMO系统频谱效率分析[J].信号处理,2016,32(11):1269-1282.Wang Yi,Qian Ye-wang,Lin Yan,et al.Analysis over spectral efficiency for distributed massive MIMO systems with temporally correlated channel[J].Journal of Signal Processing,2016,32(11):1269-1282.(in Chinese)
[15] D B Cheikh,J M Kelif,M Coupechoux,et al.Multicellular zero forcing precoding performance in rayleigh and shadow fading[A].2011 IEEE 73rd Vehicular Technology Conference (VTC 2011-Spring)[C].Budapest,Hungary:IEEE,2011.1-5.
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[2] Xiang X,Wu M,Zhao R,et al.Research on high-speed railway model for train-ground MIMO channel[A].International Symposium on Wireless Personal Multimedia Communications[C].Sydney,Australia:IEEE,2014.724-728.
[3] Li C,Wang X,Yang L,et al.Joint source-and-relay beamforming for multiple-input multiple-output systems with single-antenna distributed relays[J].IET Communications,2012,6(1):62-68.
[4] 廖勇,李瑜锋,沈轩帆.基于DoA的高速场景下大规模MIMO自适应波束成形[J].通信学报,2017,38(6):58-67.Liao Yong,Li Yu-feng,Shen Xuan-fan.Adaptive beamforming of massive MIMO based on DoA in high mobility scenarios[J].Journal on Communications,2017,38(6):58-67.(in Chinese)
[5] 曹杰,廖勇,王丹,等.基于非理想CSI的下行MU-MIMO鲁棒波束成形[J].电子学报,2016,44(9):2093-2099.Cao Jie,Liao Yong,Wang Dan,et al.Robust beamforming for downlink MU-MIMO based on imperfect CSI[J].Acta Electronica Sinica,2016,44(9):2093-2099.(in Chinese)
[6] Yang M,Yao D,Ai B,et al.A double differential space-frequency MIMO precoding scheme of LTE in high-speed railway environment[A].International Symposium on Microwave,Antenna,Propagation and EMC Technologies for Wireless Communications[C].Chengdu,China:IEEE,2013.33-37.
[7] Inoue T,Jr R W H.Kerdock codes for limited feedback precoded MIMO systems[J].IEEE Transactions on Signal Processing,2009,57(9):3711-3716.
[8] Ozdemir B,Gurbuz O.A feasible high capacity wireless network architecture with MIMO precoding[A].International Conference on Wireless Networks[C].Maui,HI,USA:IEEE,2005.733-738.
[9] Ozdemir B,Gurbuz O.Scheduling approach for MIMO with Tomlinson-Harashima precoding[A].IEEE Vehicular Technology Conference[C].Melbourne,Vic,Australia:IEEE,2006.329-333.
[10] Jiang J,Buehrer R M,Tranter W H.Greedy scheduling performance for a zero-forcing dirty-paper coded system[J].IEEE Transactions on Communications,2006,54(5):789-793.
[11] Ghazal A,Yuan Y,Wang C X,et al.A non-stationary IMT-A MIMO channel model for high-mobility wireless communication systems[J].IEEE Transactions on Wireless Communications,2017,16(4):2057-2068.
[12] Mai V,Paulraj A.Optimal linear precoders for MIMO wireless correlated channels with nonzero mean in space-time coded systems[J].IEEE Transactions on Signal Processing,2006,54(6):2318-2332.
[13] Weichselberger W,Herdin M,Ozcelik H,et al.A stochastic MIMO channel model with joint correlation of both link ends[J].IEEE Transactions on Wireless Communications,2006,5(1):90-100.
[14] 王毅,钱叶旺,林艳,等.时间相关信道下分布式大规模MIMO系统频谱效率分析[J].信号处理,2016,32(11):1269-1282.Wang Yi,Qian Ye-wang,Lin Yan,et al.Analysis over spectral efficiency for distributed massive MIMO systems with temporally correlated channel[J].Journal of Signal Processing,2016,32(11):1269-1282.(in Chinese)
[15] D B Cheikh,J M Kelif,M Coupechoux,et al.Multicellular zero forcing precoding performance in rayleigh and shadow fading[A].2011 IEEE 73rd Vehicular Technology Conference (VTC 2011-Spring)[C].Budapest,Hungary:IEEE,2011.1-5.
[16] P Patcharamaneepakorn,S Armour,A Doufexi.On the equivalence between SLNR and MMSE precoding schemes with single-antenna receivers[J].IEEE Communications Letters,2012,16(7):1034-1037.