Effective SINR Computation for Maximum Likelihood Detector in MIMO Spatial Multiplexing Systems

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In this paper, the authors studies the computation of post-processing Signal-to-Interference plus Noise Ratio (SINR) for Maximum Likelihood Detector (MLD) in Multiple-Input and Multiple-Output (MIMO)-Orthogonal Frequency Division Multiplexing (OFDM) spatial multiplexing systems. They derive an effective post-MLD SINR for each spatial stream, which is computed as post Minimum Mean-Squared Error (MMSE) SINR plus gain factor, where the gain factor is adaptively computed based on the instantaneous channel and modulation format of interfering streams. The post-MLD SINR is then applied to Modulation and Coding Scheme (MCS) selection in adaptive modulation and coding. Simulation results show that the MCS selection using proposed post-MLD SINR can achieve throughput performance close to that of the optimum approach and considerable gain can be achieved over linear-MMSE receiver.