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Optimal LTE-A pilot patterns and numbers of MIMO transmission streams under high mobility scenarios

机译:高移动性场景下的最优LTE-A导频模式和MIMO传输流数量

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Under the high mobility scenario, some factors have a strong influence on LTE system performance such as the velocity of mobile user, pilot patterns, multiple-input-multiple-output (MIMO) transmission strategies, wireless channel characteristics, etc. The doppler shift or spread due to the user velocity will not only cause the inter-carrier-interference (ICI) for orthogonal frequency division multiplexing (OFDM) transmission but also increase the channel estimation error in time-varying channels, which further deteriorates the efficiency of precoding and symbol detection. Smaller pilot spacing in time domain provides better channel estimation accuracy however results in larger system overhead, thus lower transmission efficiency. Similarly, larger number of MIMO transmission streams definitely enables more data symbols to be transmitted simultaneously however requires more pilot symbols for channel estimation, also leading to larger system overhead. In this paper, the effects of user velocity, pilot patterns and the number of MIMO transmission streams on system throughput are investigated. The analysis and simulation results show that under certain user velocity and channel condition, there always exists an optimal pilot spacing and an optimal number of MIMO transmission streams in terms of the system throughput.
机译:在高移动性场景下,某些因素会对LTE系统性能产生重大影响,例如移动用户的速度,导频模式,多输入多输出(MIMO)传输策略,无线信道特性等。多普勒频移或用户速度造成的扩频不仅会导致正交频分复用(OFDM)传输的载波间干扰(ICI),而且会增加时变信道中的信道估计误差,从而进一步降低预编码和符号的效率检测。时域中较小的导频间隔可提供更好的信道估计精度,但是会导致较大的系统开销,从而降低传输效率。类似地,更大数量的MIMO传输流无疑使更多的数据符号能够同时传输,但是需要更多的导频符号进行信道估计,这也导致更大的系统开销。本文研究了用户速度,导频模式和MIMO传输流数量对系统吞吐量的影响。分析和仿真结果表明,在一定的用户速度和信道条件下,就系统吞吐量而言,始终存在最优的导频间隔和最优的MIMO传输流数量。

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