An Effective Link Error Prediction Technique for MIMO-OFDM Systems With ML Receiver
In this paper, the authors propose an accurate link performance abstraction technique for Multiple-Input Multiple-Output (MIMO) orthogonal frequency-division multiplexing systems with Maximum Likelihood (ML) receiver. The performance of ML Detection (MLD) is estimated by using capacity bounds of two simple linear receivers. To this end, they give a simple parametrization to compute the desired per-stream Signal-to-Noise Ratio (SNR) values, which can be applied for both vertically and horizontally coded MIMO systems. Based on the perstream SNR estimates, the block error rate performance for each encoding block is finally obtained using the received-bit information rate metrics.