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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PER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)正交频分复用(OFDM)系统的分组错误率(PER)预测对于链路自适应很重要。但是,由于现有的预测方法需要针对每种传输方案进行曲线拟合和参数校准,因此随着方案数量的增加,它们实际上是不实用的。本文通过对成对误码率(PEP)和代码的传递函数进行分析,提出了一种纯粹的分析方法,用于采用比特交织编码调制(BICM)MIMO OFDM系统的速率兼容删余卷积(RCPC)的PER预测。所提方法的准确性与其他启发式方法的准确性相当。

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