基于信道估计误差的Cramer-Rao边界的MIMO容量边界框架

T. Svantesson, B. Rao
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摘要

本文提出了利用Cramer-Rao界(CRB)推导考虑信道估计误差的MIMO容量界的框架。将CRB与容量分析相结合,可以对估计性能和吞吐量之间的权衡进行研究。利用该框架研究了实际航道测深实验中时空结构的影响。数值计算表明,与以往的非结构化方法相比,利用该信道结构可以获得更高的容量,并且训练符号和发射天线的最佳数量有所不同
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A Framework for MIMO Capacity Bounds Based on the Cramer-Rao Bound on the Channel Estimation Error
This paper provides n framework for deriving MIMO capacity bounds that takes channel estimation error into account by using the Cramer-Rao bound (CRB). Combining the CRB with capacity analysis allows for studies of the trade-off between estimation performance and throughput. The framework is used to investigate the impact of the spatio-temporal structure found in practical channel sounding experiments. Numerical evaluations indicate that higher capacities are possible and the optimum number of training symbols and transmit antennas are different when exploiting the structure in the channel compared to previous unstructured approaches
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