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A constant-throughput LLL algorithm with deep insertion for LR-aided MIMO detection

机译:具有深度插入的恒定吞吐量LLL算法,用于LR辅助MIMO检测

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Lattice reduction (LR) has emerged as a popular technique to improve the performance of many low complexity MIMO detectors. Among the existing LR algorithms, the LLL algorithm has been applied to MIMO communications almost exclusively to date. However, the conventional LLL algorithm has variable reduction time, and hence non-constant throughput for the resulting communications system. In order to address this issue, this paper proposed a new variant of the LLL-algorithm (CT-LLL-deep) having constant throughput by introducing the concept of deep insertion into a parallel variant of LLL. Simulation results show that LR-aided detectors using the proposed CT-LLL-deep are capable of achieving lower bit error rate with much less reduction time, comparing to those using other existing LR algorithms.
机译:晶格缩减(LR)已经成为一种提高许多低复杂度MIMO检测器性能的流行技术。迄今为止,在现有的LR算法中,LLL算法已几乎完全应用于MIMO通信。然而,常规的LLL算法具有可变的减少时间,因此对于所得到的通信系统来说吞吐量是不恒定的。为了解决此问题,本文通过将深度插入的概念引入LLL的并行变体中,提出了具有恒定吞吐量的LLL算法的新变体(CT-LLL-deep)。仿真结果表明,与使用其他现有LR算法的检测器相比,使用建议的CT-LLL-deep的LR辅助检测器能够实现更低的误码率,并且减少的时间更少。

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