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

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.