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Bounded Block Parallel Lattice Reduction algorithm for MIMO-OFDM and its application in LTE MIMO receiver

机译:MIMO-OFDM的有界块并行格减少算法及其在LTE MIMO接收机中的应用

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Lattice reduction is a promising technique to enhance the performance of sub-optimal MIMO detectors. This paper presents the Bounded Block Parallel Lattice Reduction (BBP-LR) algorithm, which is an implementation friendly low complexity algorithm specifically optimized for practical MIMO-OFDM systems. The optimisation of the BBP-LR algorithm is based on the following: 1) exploiting the frequency coherence in MIMO-OFDM to enable parallel processing that suits SIMD/vector architectures; 2) bounding the execution behaviour to reduce complexity and enable hard real-time task scheduling; 3) performing a frame based preprocessing to significantly reduce complexity. The proposed BBP-LR algorithm has been evaluated in the context of LTE MIMO receivers. When comparing to linear MIMO detectors, the proposed algorithm brings performance improvement at a small complexity increase. Specifically, when compared to ZF, BBP-LR based preprocessing brings an impressive 11dB SNR gain at the cost of only 23% complexity increase.
机译:晶格减少是一种增强次优MIMO检测器性能的有前途的技术。本文提出了有界块并行晶格缩减(BBP-LR)算法,该算法是一种为实用MIMO-OFDM系统专门优化的易于实现的低复杂度算法。 BBP-LR算法的优化基于以下内容:1)利用MIMO-OFDM中的频率相干性来实现适合SIMD /矢量架构的并行处理; 2)限制执行行为以降低复杂性并实现硬实时任务调度; 3)执行基于帧的预处理以显着降低复杂性。所提出的BBP-LR算法已在LTE MIMO接收机的环境中进行了评估。与线性MIMO检测器相比,该算法以较小的复杂度增加带来了性能提升。具体而言,与ZF相比,基于BBP-LR的预处理带来了令人印象深刻的11dB SNR增益,而代价仅是增加了23%的复杂度。

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