Bounds on the ergodic capacity of training-based multiple-antenna systems

S. Furrer, D. Dahlhaus
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引用次数: 3

Abstract

Multiple-antenna concepts for wireless communication systems promise high spectral efficiencies by proper exploitation of the randomness in multipath propagation. In this paper, we investigate the impact of channel uncertainty caused by channel estimation errors on the capacity of Rayleigh and Ricean block-fading channels. We consider a training-based multiple-antenna system that reserves a portion of time to sound the channel. The training symbols are used to estimate the channel state information (CSI) at the receiver by means of an arbitrary linear estimation filter. No CSI is assumed at the transmitter. We present an equivalent system model for training-based multiple-antenna systems, which specifies the channel by the estimated (and hence, known) channel coefficients and an uncorrelated, data-dependent noise. Based on this equivalent model, which includes the special cases of perfect CSI and no CSI, we derive upper and lower bounds on the maximum instantaneous mutual information and the ergodic capacity, and extend previous results to arbitrary (and possibly mismatched) linear channel estimators and to correlated Ricean fading
基于训练的多天线系统遍历能力的界限
无线通信系统的多天线概念通过适当利用多径传播中的随机性,保证了高频谱效率。本文研究了由信道估计误差引起的信道不确定性对瑞利和赖斯块衰落信道容量的影响。我们考虑了一种基于训练的多天线系统,它保留了一部分时间来探测信道。训练符号通过任意线性估计滤波器估计接收机的信道状态信息(CSI)。发射机没有假定CSI。我们为基于训练的多天线系统提出了一个等效的系统模型,该模型通过估计的(因此是已知的)信道系数和不相关的数据相关噪声来指定信道。在此等效模型的基础上,我们推导了最大瞬时互信息和遍历容量的上界和下界,并将之前的结果推广到任意(可能不匹配的)线性信道估计和相关Ricean衰落
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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