首页> 外文期刊>Signal Processing, IEEE Transactions on >Robust Precoding With Bayesian Error Modeling for Limited Feedback MU-MISO Systems
【24h】

Robust Precoding With Bayesian Error Modeling for Limited Feedback MU-MISO Systems

机译:具有贝叶斯误差建模的鲁棒预编码,用于有限反馈MU-MISO系统

获取原文
获取原文并翻译 | 示例

摘要

We consider the robust precoder design for multiuser multiple-input single-output (MU-MISO) systems where the channel state information (CSI) is fed back from the single antenna receivers to the centralized transmitter equipped with multiple antennas. We propose to compress the feedback data by projecting the channel estimates onto a vector basis, known at the receivers and the transmitter, and quantizing the resulting coefficients. The channel estimator and the basis for the rank reduction are jointly optimized by minimizing the mean-square error (MSE) between the true and the rank-reduced CSI. Expressions for the conditional mean and the conditional covariance of the channel are derived which are necessary for the robust precoder design. These expressions take into account the following sources of error: channel estimation, truncation for rank reduction, quantization, and feedback channel delay. As an example for the robust problem formulation, vector precoding (VP) is designed based on the expectation of the MSE conditioned on the fed-back CSI. Our results show that robust precoding based on fed-back CSI clearly outperforms conventional precoding designs which do not take into account the errors in the CSI.
机译:我们考虑了用于多用户多输入单输出(MU-MISO)系统的健壮的预编码器设计,该系统的信道状态信息(CSI)从单天线接收器反馈到配备有多个天线的集中式发射器。我们建议通过将信道估计投影到矢量(在接收器和发送器处已知)并量化所得系数来压缩反馈数据。通过最小化真实和降低秩的CSI之间的均方误差(MSE),可以共同优化信道估计器和降低秩的基础。导出了信道的条件均值和条件协方差的表达式,这些表达式对于鲁棒的预编码器设计是必需的。这些表达式考虑了以下错误源:信道估计,降级的截断,量化和反馈信道延迟。作为鲁棒问题表述的示例,矢量预编码(VP)是基于对以反馈CSI为条件的MSE的期望而设计的。我们的结果表明,基于反馈CSI的鲁棒预编码明显优于常规预编码设计,后者不考虑CSI中的错误。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号