Dynamic ing-and-cancelling with near-ML performance for MIMO communication systems

The conventional ing-and-cancelling (NC) detection scheme for MIMO systems uses the layerwise post-detection mean-square errors (MSEs) as reliability measures for layer sorting. These MSEs are average measures that do not depend on the received vector. We propose a novel dynamic ing-and-cancelling (DNC) detector that performs "dynamic" layer sorting based on the current received vector. Approximate a-posteriori probabilities (constructed by means of a Gaussian approximation for the postdetection interference) are used as measures of layer reliability. This results in an MMSE ing technique that uses a simple layer-sorting rule with significantly improved performance. Our simulation results show that the DNC scheme can yield near-ML performance for a wide range of system sizes and signal-to-noise ratios.