An Adaptive BLAST Successive Interference Cancellation Method for High Data Rate Perfect Space-Time Coded MIMO Systems
An Adaptive BLAST Successive Interference Cancellation Method for High Data Rate Perfect Space-Time Coded MIMO Systems
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DOI：
10.1109/tvt.2019.2954207
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发表时间：
2020-02
影响因子：
6.8
通讯作者：
Mitchell J. Grabner;Xinrong Li;Shengli Fu
中科院分区：
文献类型：
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作者：
Mitchell J. Grabner;Xinrong Li;Shengli Fu
基于线性色散（LD）的完美空时码（STBC）是在保持与传统空间复用（SM）MIMO系统相同的频谱效率的同时增加多输入多输出（MIMO）系统的总体分集增益的有效手段。由于LD码的解码过程传统上需要同时接收和解码整个码，因此复杂度与MIMO阵列大小的平方成比例地增加。在本文中，我们利用在解码器的空间和时间层的数量增加，以动态地降低复杂度的BLAST最佳排序和连续干扰消除（SIC）检测器的瞬时系统容量和数据速率的基础上。本文提出的新方法是信道编码和调制不可知的，这意味着底层星座可以是HEX或QAM，并且没有来自前向纠错（FEC）解码器的反馈，这使得该设计在采用LD码和线性检测器的各种MIMO系统中非常有用。我们调查的方法的误码率（BER），使用MIMO尺寸高达8倍8 $和每信道使用（BPCU）位高达32。我们分析了系统的运行时间复杂度和BER性能的软件和实现完美的编码沿着与这里提出的新方法在一个自定义的MIMO正交频分复用（OFDM）系统和测试它在空中使用Ettus研究X310软件定义无线电（SDR）测试床。
Linear dispersion (LD) based perfect space-time codes (STBCs) are an efficient means of increasing a multiple-input multiple-output (MIMO) system's overall diversity gain while maintaining the same spectral efficiency as a traditional spatial multiplexed (SM) MIMO system. Because the decoding procedure of LD codes traditionally requires the entire code to be received and decoded simultaneously, complexity increases proportional to the square of the MIMO array size. In this paper, we leverage the increased number of spatial and temporal layers at the decoder to dynamically reduce the complexity of a BLAST optimum ordering and successive interference cancellation (SIC) detector based on the instantaneous system capacity and data rate. The novel approach proposed in this paper is channel code and modulation agnostic, meaning the underlying constellation can be HEX or QAM and there is no feedback from a forward error correction (FEC) decoder, which makes the design useful in a wide range of MIMO systems employing LD codes with linear detectors. We investigate the method's bit error rate (BER) using MIMO dimensions up to $8 \times 8$ and bits per channel use (BPCU) up to 32. We analyze the system's run-time complexity and BER performance in software and implement perfect coding along with the novel method presented here in a custom MIMO orthogonal frequency division multiplexing (OFDM) system and test it over-the-air using an Ettus Research X310 software-defined radio (SDR) testbed.