Flexible N-Way MIMO Detector on GPU

Michael Wu, Bei Yin, Joseph R. Cavallaro
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引用次数: 6

Abstract

This paper proposes a flexible Multiple-Input Multiple-Output (MIMO) detector on graphics processing units (GPU). MIMO detection is a key technology in broadband wireless system such as LTE, WiMAX, and 802.11n. Existing detectors either use costly sorting for better performance or sacrifice sorting for higher throughput. To achieve good performance with high though put, our detector runs multiple search passes in parallel, where each search pass detects the transmit stream with a different permuted detection order. We show that this flexible detector, including QR decomposition preprocessing, outperforms existing GPU MIMO detectors while maintaining good bit error rate (BER) performance. In addition, this detector can achieve different tradeoffs between throughput and accuracy by changing the number of parallel search passes.
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GPU上灵活的n路MIMO检测器
提出了一种基于图形处理单元(GPU)的灵活多输入多输出(MIMO)检测器。MIMO检测是LTE、WiMAX、802.11n等宽带无线系统的关键技术。现有的检测器要么使用昂贵的排序来获得更好的性能,要么牺牲排序来获得更高的吞吐量。为了在高吞吐量下实现良好的性能,我们的检测器并行运行多个搜索通道,其中每个搜索通道以不同的排列检测顺序检测传输流。我们证明了这种灵活的检测器,包括QR分解预处理,在保持良好误码率(BER)性能的同时,优于现有的GPU MIMO检测器。此外,该检测器可以通过改变并行搜索通道的数量来实现吞吐量和准确性之间的不同权衡。
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