协同大规模MIMO系统的训练量研究

David Neumann, Andreas Gründinger, M. Joham, W. Utschick
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引用次数: 7

摘要

协同训练显著降低了大规模MIMO系统中飞行员污染的影响。此外,协调的系统可以有效地利用额外的培训资源,因此在培训上花费比必要的最低限度更多的资源是值得的。对于固定的信道相干时间,我们分析了在非协调和协调情况下花费在训练或数据符号上的资源之间的权衡。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On the amount of training in coordinated massive MIMO systems
Coordinated training significantly reduces the impact of pilot contamination in massive MIMO systems. Moreover, coordinated systems can use additional training resources in an effective manner, making it worthwhile to spend more resources on training than the necessary minimum. For a fixed channel coherence time, we analyze the trade-off between spending resources on training or data symbols for the uncoordinated and the coordinated case.
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