Efficient Near-Optimum Detectors for Large MIMO Systems Under Correlated Channels

Recently, high spectral and energy efficiencies multiple antennas wireless systems under scattered environments have attracted an increasing interest due to their intrinsically benefits. This work focuses on the analysis of MIMO equalizers, improved MIMO detection techniques and their combinations, allowing a good balance between complexity and performance in Rayleigh channel environment. Primarily, the MIMO linear equalizers combined with detection techniques such as ordering (via sorted QR decomposition), successive interference cancellation, list reduction and lattice reduction were investigated. An important aspect invariably present in practical systems taken into account in the analysis has been the channel correlation effect, which under certain realistic conditions could result in a strong negative impact on the MIMO system performance. The goal of this paper consists in construction a framework on sub-optimum MIMO detection techniques, pointing out a MIMO detection architecture able to attain low or moderate complexity, suitable performance and full diversity.

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