信道预测下的迫零波束形成系统的性能

doi:10.3969/j.issn.0255-8297.2013.03.002

应用科学学报 ›› 2013, Vol. 31 ›› Issue (3): 228-232.doi: 10.3969/j.issn.0255-8297.2013.03.002

信道预测下的迫零波束形成系统的性能

卢敏，曾桂根，酆广增

南京邮电大学通信与信息工程学院，南京210003

收稿日期:2012-02-20 修回日期:2012-04-05 出版日期:2013-05-28 发布日期:2012-04-05
作者简介:卢敏，讲师，博士生，研究方向：宽带无线通信技术，E-mail: lumin@njupt.edu.cn；酆广增，教授，博导，研究方向：移动通信、无线协同通信、数字移动通信、通信信号处理，E-mail: gzfeng@njupt.edu.cn
基金资助:
国家自然科学基金(No.61171092)；江苏省科技支撑计划(工业)项目基金(No.BE2012182)资助

Performance of Zero-Forcing Beam Forming System with Channel Prediction

LU Min, ZENG Gui-gen, FENG Guang-zeng

College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China

Received:2012-02-20 Revised:2012-04-05 Online:2013-05-28 Published:2012-04-05

摘要/Abstract

摘要： 分析了反馈时延对于迫零(zero-forcing, ZF)波束形成系统和容量性能的影响，提出采用最小均方误差信道预测技术补偿反馈时延. 基于ZF系统信干噪比的概率密度函数，推导了信道信息存在误差时该系统和容量期望的解析表达式. 数值仿真表明，预测器有效利用了信道的时间相关性，补偿了反馈时延带来的容量损失，仿真结果与理论分析结果吻合.

关键词: 信道预测, 迫零波束形成, 和容量

Abstract: In this paper, capacity degradation of zero-forcing beam forming (ZFBF) system due to outdated CSI is investigated. A linear minimum mean square error (MMSE) channel predictor is employed to cope with the feedback delay and improve the capacity performance. Based on the power density function of the system’s signal to interference plus noise ratio (SINR), the analytic sum capacity expression relevant to the prediction error is derived. Numerical simulations show effectiveness of the predictor that exploits the channel’s temporal correlation against feedback delay. The simulation results are consistent with the analytic research.

Key words: channel prediction, zero-forcing beamforming, sum capacity

中图分类号:

TN929.5

卢敏，曾桂根，酆广增. 信道预测下的迫零波束形成系统的性能[J]. 应用科学学报, 2013, 31(3): 228-232.

LU Min, ZENG Gui-gen, FENG Guang-zeng. Performance of Zero-Forcing Beam Forming System with Channel Prediction[J]. Journal of Applied Sciences, 2013, 31(3): 228-232.

参考文献

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信道预测下的迫零波束形成系统的性能

Performance of Zero-Forcing Beam Forming System with Channel Prediction

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