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Low complexity MIMO detection using OSIC with conditional list generation

机译:使用OSIC和条件列表生成的低复杂度MIMO检测

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This paper proposes a low complexity MIMO detection using ordering SIC (OSIC) with conditional list generation. Combined with lattice-reduction (LR) technique, OSIC further gains the BER performance compared to SIC, since the more reliable signal is prior to being detected. However OSIC based on LR (LR-OSIC) has inferior performance to the maximum likelihood (ML) detection in large size MIMO systems. In this paper, we investigate the mean square error in LR domain to evaluate the condition of the channel. The proposed detection applies the conditional list detection to update the estimate of the LR-OSIC. The simulation results exhibited that the proposed detection achieved near-ML performance in the 8×8 MIMO and required almost same complexity of the LR-OSIC in the high E_(b)/N _(0) region.
机译:本文提出了一种带有条件列表生成的,使用排序SIC(OSIC)的低复杂度MIMO检测。结合晶格缩减(LR)技术,与SIC相比,OSIC进一步获得了BER性能,因为更可靠的信号是在检测到之前。但是,基于LR的OSIC(LR-OSIC)在大型MIMO系统中的最大似然(ML)检测性能较差。在本文中,我们研究了LR域中的均方误差,以评估信道条件。提议的检测应用条件列表检测来更新LR-OSIC的估计。仿真结果表明,提出的检测在8×8 MIMO中达到了近ML性能,并且在高E_(b)/ N_(0)区域中要求LR-OSIC的复杂度几乎相同。

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