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信道估计误差对下行多用户迫零波束成型系统吞吐量的影响 被引量：1

Effect of Channel Estimation Error on the Throughput of Downlink Multiuser System with Zero-Forcing Beamforming
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摘要 研究了信道估计误差对迫零波束成型的系统吞吐量的影响,利用计算机仿真,给出了信道估计误差引起的吞吐量下降程度与系统中的用户数、信噪比、发射天线数和发射子流的次序关系.仿真结果表明,在用户数适中的时候,即使基站端的信道状态信息不准确,迫零波束成型的吞吐量与发射天线数的增长仍保持线性关系,这是迫零波束成型系统优于随机波束成型系统的一个方面.根据仿真结果,还给出了满足给定系统中断概率下的参考速率因子ζ. Impact of channel estimation error on the throughput of zero-forcing beamforming （ZFBF） is studied in this paper. By computer simulation, relations between the incurred throughput loss due to channel estimation error and the system parameters such as number of users, SNR, number of transmitting antennas and the order of data sub-stream are investigated. Simulation results demonstrate that, when the user number is moderate, a ZFBF system demonstrates its advantage over random beamforming （RBF） in terms of the linear increase of throughput with the number of transmitting antennas even under imperfect channel estimation at the transmitter. Also, in this paper, a referenced rate factor is given to meet the specific outage requirement of system. The results provide a reference for the design of practical downlink multi-antenna multi-user systems.
作者 黄森华 邱玲 朱近康
机构地区 中国科学技术大学个人通信与扩频实验室
出处 《应用科学学报》 CAS CSCD 北大核心 2006年第5期441-446,共6页 Journal of Applied Sciences
基金 国家自然科学基金(60496314) 国家"863"高技术研究发展计划(2003AA12331003)资助项目
关键词 下行多天线多用户系统 迫零波束成型 信道估计误差 吞吐量分析 downlink multi-antenna multi-user system zero-forcing beamforming channel estimation error throughput analysis
分类号 TN929.5 [电子电信—通信与信息系统]
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参考文献16

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同被引文献12

  • 1LOVE D J,HEATH R W,LAU V K N. An overview of limited of feedback in wireless communication systems[J].IEEE Journal on Selected Areas in Communications,2008,(08):1341-1365.doi:10.1109/JSAC.2008.081002.
  • 2ANNAPUREDDY V S,VEERAVALLI V V. Sum capacity of MIMO interference channels in the low interference regime[J].IEEE Transactions on Information theory,2011,(05):2565-2581.
  • 3WINDPASSINGER C,FISCHER R F H,VENCEL T. Precoding in muhiantenna and multiuser communications[J].IEEE Transactions on Wireless Communications,2004,(04):1305-1316.
  • 4CHEN C J,WANG L C. Enhancing coverage and capacity for multiuser MIMO systems by utilizing scheduling[J].IEEE Transactions on Wireless Communications,2006,(05):1148-1157.
  • 5CAIRE G,SHAMAI S. On the achievable throughput of a multi-antenna Gaussian broadcast channel[J].IEEE Transactions on Information theory,2003,(07):1691-1706.
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  • 7PEEL C,HOCHWALD B,SWINDLEHURST L. A vector-perturbation technique for near-capacity multi-antenna multi-user communication,part Ⅰ:channel inversion and regularization[J].IEEE Transactions on Communications,2005,(01):195-202.doi:10.1109/TCOMM.2004.840638.
  • 8YOO T,GOLDSMITH A. Capacity and power allocation for fading MIMO channels with channel estimation error[J].IEEE Transactions on Information theory,2006,(05):2203-2214.doi:10.1109/TIT.2006.872984.
  • 9YOO T,GOLDSMITH A. On the optimality of multiantenna broadcast scheduling using zero-forcing beamforming[J].IEEE Journal on Selected Areas in Communications,2006,(03):528-541.doi:10.1109/JSAC.2005.862421.
  • 10SPENCER Q H,SWINDLEHURST A L,HAARDT M. Zero-forcing methods for downlink spatial multiplexing in multiuser MIMO channels[J].IEEE Transactions on Signal Processing,2004,(02):461-471.doi:10.1109/TSP.2003.821107.

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应用科学学报
2006年 第5期

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