A neighborhood restricted Mixed Gibbs Sampling (MGS) based approach is proposed for low-complexity high-order modulation large-scale Multiple-Input Multiple-Output (LS-MIMO) detection. The proposed LS-MIMO detector applies a neighborhood limitation (NL) on the noisy solution from the MGS at a distance d - thus, named d-simplified MGS (d-sMGS) - in order to mitigate its impact, which can be harmful when a high order modulation is considered. Numerical simulation results considering 64-QAM demonstrated that the proposed detection method can substantially improve the MGS algorithm convergence, whereas no extra computational complexity per iteration is required. The proposed d-sMGS-based detector suitable for high-order modulation LS-MIMO further exhibits improved performance vs. complexity tradeoff when the system loading is high, i.e., when K >= 0.75. N. Also, with increasing the number of dimensions, i.e., increasing the number of antennas and/or modulation order, a smaller restriction of 2-sMGS was shown to be a more interesting choice than 1-sMGS.

翻译：为检测低复杂度高调大型多投入多输出量(LS-MIMO),建议采用以邻里限制的混合吉布斯取样法(MGS)为基础的低复杂度高调高调高调高调高调高调高调高调低调高调高调高调高调高调高调低调高调高调高调低调高调高调高调低调高调低调低调高调高调高调高调高调低调低调高调低调低调低调高调高调高调高调高调高调高调高调高调低调低调低调高调高调高调高调高调高调低混合混混混混混混混混混混混混混混混混的混杂混杂混杂混杂混杂地(MGMS)方法。