In this paper, we propose a novel transmission scheme, called sparse layered MIMO (SL-MIMO), that combines non-orthogonal transmission and singular value decomposition (SVD) precoding. Nonorthogonality in SL-MIMO allows re-using of the eigen-channels which improves the spectral efficiency and error rate performance of the system through enhancing the coding gain and diversity gain. We also present a low-complexity message-passing (MP) detector for the proposed SL-MIMO system which performs quite close to maximum likelihood (ML). The joint moment generating function (MGF) of the ordered eigenvalues is calculated and used to derive a closed-form upper bound on the average word error probability (AWEP) of the SL-MIMO system, and this derived expression is then used to analyze the diversity gain of the system. We use our analytical results to design sub-optimal codebooks to minimize the error rate of the SL-MIMO system. Simulation results in 4x4 and 6x6 multiple-input multiple-output (MIMO) systems with 4-ary, 16-ary, and 64-ary constellations show that our proposed SL-MIMO scheme outperforms competing approaches such as X- and Y-codes in terms of system error rate performance. SL-MIMO has 5.6 dB advantage compared to X-codes and 4.7 dB advantage compared to Y-codes in 6x6 MIMO system with a 64-ary constellation.

翻译：在本文中,我们提出了一个新颖的传输方案,称为稀疏的分层 mIMO(SL-MIMO),将非二次传输和单值分解(SVD)预编码结合起来。SL-MIMO的非二次传输允许重新使用密封通道,通过增强编码增益和多样性增益来提高系统的光谱效率和误差率性能。我们还为拟议的 SL-MIMO 系统提出了一个低兼容度信息传输检测仪(MP),该系统运行的可能性非常接近(ML) 。定购的eigen值的联合瞬间生成功能(MGF)被计算并用于在SL-MIMO系统的平均字差概率(AWEP)上形成一个封闭式的上限,然后用这一衍生表达法来分析系统的多样性增益。我们用我们的分析结果设计了次级最佳的代码,以最大限度地减少SL-MIMO系统的误差率。在4x4和6x的多倍计算结果中,将YL规则的正值比值比值比值比值比值比值值值-RIMIMO-x的系统,将S-x-plus-pal-pal-pal-pal 的系统显示S-xxxxxxxxxxxxxxxxxy-cal-pal-pal-pal-pal-pal-pal-s。