HARQ throughput enhancement using maximum likelihood block detection with recursive QR packet combining and M-algorithm for single-carrier MIMO

Tetsuya Yamamoto, Kazuki Takeda, F. Adachi
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引用次数: 5

Abstract

For achieving very high-speed and high quality packet transmission, the joint use of multi-input multi-output (MIMO) spatial multiplexing and hybrid automatic repeat request (HARQ) is very effective. The HARQ throughput depends on the packet combining scheme. In this paper, we consider a single-carrier (SC) MIMO and propose a maximum likelihood block detection using recursive QR packet combing and M-algorithm called recursive QRM-MLBD. We will show, by computer simulation, the recursive QR packet combing provides a better throughput performance than the conventional bit-level log likelihood ratio (LLR) packet combining. We also compare the achievable throughput performance of proposed recursive QRM-MLBD to that of the frequency-domain detection based on the minimum mean square error criterion (MMSED).
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基于最大似然块检测的递归QR包组合和单载波MIMO的m算法增强HARQ吞吐量
多输入多输出(MIMO)空间复用和混合自动重复请求(HARQ)技术的联合应用是实现高速、高质量分组传输的有效方法。HARQ吞吐量取决于分组组合方案。本文考虑单载波(SC) MIMO,提出了一种使用递归QR分组梳理和m算法的最大似然块检测方法,称为递归QRM-MLBD。通过计算机模拟,我们将证明递归QR包组合比传统的位级对数似然比(LLR)包组合提供更好的吞吐量性能。我们还比较了所提出的递归QRM-MLBD与基于最小均方误差准则(MMSED)的频域检测的可实现吞吐量性能。
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