Low-complexity sparse-aware multiuser detection for large-scale MIMO systems

摘要: Sparse-aware (SA) detectors have attracted a lot attention due to its significant performance and low-complexity, in particular for large-scale multiple-input multiple-output (MIMO) systems. Similar the conventional multiuser detectors, nonlinear or compressive sensing based SA provide better but are not appropriate overdetermined MIMO systems sense of power time consumption. The linear detector provides a more elegant tradeoff between complexity compared ones. However, major limitation is that, as zero-forcing minimum mean square error detector, it was derived by relaxing finite-alphabet constraints, therefore still sub-optimal. In this paper, we propose novel named single-dimensional search-based (SDSB-SA) uplink proposed SDSB-SA adheres constraints so that outperforms particular, high SNR regime. Meanwhile, follows search manner, has very low computational which feasible light-ware Internet Thing devices ultra-reliable low-latency communication. Numerical results show a relatively with several existing detectors.