Lattice Reduction-Aided Detection for Overloaded MIMO Using Slab Decoding
Lattice Reduction-Aided Detection for Overloaded MIMO Using Slab Decoding
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DOI：
10.1587/transcom.2015ccp0014
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发表时间：
2016-08
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通讯作者：
Ryo Hayakawa;K. Hayashi;Megumi Kaneko
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文献类型：
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作者：
Ryo Hayakawa;K. Hayashi;Megumi Kaneko
在本文中，我们提出了一个超载的多输入多输出（MIMO）信号检测方案与slab解码和格约简（LR）。该方案首先将发射信号矢量分为两部分，后投票矢量由与接收天线相同数量的信号元素组成，前投票矢量由剩余元素组成。其次，它减少了使用slab解码的预投票矢量的候选，并确定每个预投票矢量候选LR辅助最小均方误差（MMSE）-连续干扰消除（SIC）检测的后投票矢量。从所提出的方案的性能分析，我们推导出的错误概率的上界，并表明它可以实现全分集阶。仿真结果表明，该方案可以达到几乎相同的性能，最佳ML检测，同时降低了所需的计算复杂度。关键词：过载MIMO，信号检测，格点缩减，slab译码
In this paper, we propose an overloaded multiple-input multiple-output (MIMO) signal detection scheme with slab decoding and lattice reduction (LR). The proposed scheme firstly splits the transmitted signal vector into two parts, the post-voting vector composed of the same number of signal elements as that of receive antennas, and the pre-voting vector composed of the remaining elements. Secondly, it reduces the candidates of the pre-voting vector using slab decoding and determines the postvoting vectors for each pre-voting vector candidate by LR-aided minimum mean square error (MMSE)-successive interference cancellation (SIC) detection. From the performance analysis of the proposed scheme, we derive an upper bound of the error probability and show that it can achieve the full diversity order. Simulation results show that the proposed scheme can achieve almost the same performance as the optimal ML detection while reducing the required computational complexity. key words: overloaded MIMO, signal detection, lattice reduction, slab decoding