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PER prediction for convolutionally coded MIMO OFDM systems — An analytical approach

机译:卷积编码MIMO OFDM系统的每次预测 - 一种分析方法

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Packet error rate (PER) prediction for multiple-input multiple-output (MIMO) orthogonal frequency-division multiplexing (OFDM) systems is important to link adaptation. However, since the existing prediction methods require curve fitting and parameter calibration for each transmission scheme, they are actually not practical as the number of scheme increases. This paper presents a purely analytical approach to PER prediction for rate-compatible punctured convolutional (RCPC) with bit-interleaved coded modulation (BICM) MIMO OFDM systems based on the analysis of pairwise error probability (PEP) and the transfer functions of the codes. The accuracy of the proposed method is comparable with which resulting from other heuristic methods.
机译:多输入多输出(MIMO)正交频率分割复用(OFDM)系统的数据包错误率(每)预测对于链接适应非常重要。 然而,由于现有预测方法需要每个传输方案的曲线拟合和参数校准,因此它们实际上是不实际的,因为方案的数量增加。 本文提出了一种纯粹的分析方法,对速率兼容的刺穿卷积(RCPC)具有比特交错的编码调制(BICM)MIMO OFDM系统,基于成对误差概率(PEP)和代码的传递函数的分析。 所提出的方法的准确性与其他启发式方法产生的可比性相当。

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