Maximum likelihood detection for quantized MIMO systems

In this work, maximum likelihood-detection (ML-detection) for MIMO systems operating on quantized data is considered. It turns out that the optimal decision rule is generally intractable. Therefore, we propose a suboptimal solution with lower complexity. Assuming a Rayleigh fading MIMO environment, an upper bound on the error probability is derived for the case where the number of transmit and receive antennas are equal. Furthermore, we introduce a new performance measure that relates the outage properties to the bit resolution in this context.