Effects of the length of training sequence on the achievable rate in FDD massive MIMO system

Yi Wang, Wenting Song, Yongming Huang, Chunguo Li, Shidang Li, Luxi Yang
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Abstract

This paper considers a downlink massive MIMO frequency division duplexing (FDD) system. Due to the large number of antennas, the required length of training sequence for downlink training significantly increases in FDD mode, which leads to prohibitive overhead in real system. Thus, in this work we investigate how the length of training sequence affects the system performance. For this purpose, we derive an analytical expression of the ergodic achievable rate from a worst case viewpoint with the the training sequence length as a parameter in it. It is revealed from the analytical results that i.) the length of training sequence divided by the number of base station antennas approaches to zero yet the achievable rate can increase to infinity as long as the antenna number is sufficient large; ii.) there is a ceiling effect on the achievable rate if the antenna number grows large with any fixed training length. Furthermore, we propose a guideline for the selection of the training length. Numerical results validate the derivations and analysis.
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训练序列长度对FDD大规模MIMO系统可达率的影响
本文研究了一种下行链路大规模MIMO频分双工(FDD)系统。由于天线数量较多,在FDD模式下下行训练所需的训练序列长度明显增加,导致实际系统开销过大。因此,在这项工作中,我们研究了训练序列的长度如何影响系统性能。为此,我们以训练序列长度为参数,从最坏情况的角度推导出遍历可达率的解析表达式。分析结果表明:(1)训练序列长度除以基站天线个数趋近于零,但只要天线个数足够大,可实现速率可以增大到无穷大;Ii .)在任何固定的训练长度下,如果天线数量增加,则可达到的速率存在天花板效应。此外,我们还提出了训练长度的选择准则。数值结果验证了推导和分析的正确性。
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