Performance Analysis of Coded Massive MIMO-OFDM Systems Using Effective Matrix Inversion
Performance Analysis of Coded Massive MIMO-OFDM Systems Using Effective Matrix Inversion
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DOI：
10.1109/tcomm.2017.2749370
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发表时间：
2017-09
影响因子：
8.3
通讯作者：
Ali J. Al-Askery;C. Tsimenidis;S. Boussakta;J. Chambers
中科院分区：
文献类型：
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作者：
Ali J. Al-Askery;C. Tsimenidis;S. Boussakta;J. Chambers
基于信道均衡后的近似噪声分布，推导了大规模多输入多输出正交频分复用（MIMO-OFDM）系统在不同M元调制方式下的误比特率和成对错误概率（PEP）。PEP被用来获得上界的卷积编码和Turbo编码的大规模MIMO-OFDM系统的不同的代码生成器和接收天线。此外，对数似然比（LLR）值的复杂性分析使用近似的噪声概率密度函数。在大规模MIMO-OFDM系统中，当接收天线数目非常大时，推导出的LLR计算可能是耗时的。因此，一个降低了复杂性的近似介绍了使用牛顿插值与不同的多项式阶数和结果进行了比较，与精确的模拟。通过减少计算信道矩阵逆所需的运算次数，使用Neumann大矩阵近似来设计用于迫零均衡器的接收机。仿真结果表明，使用推导出的方程得到的结果匹配密切的Monte Carlo模拟。
In this paper, we derive the bit error rate and pairwise error probability (PEP) for massive multiple-input multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) systems for different $M$ -ary modulations based upon the approximate noise distribution after channel equalization. The PEP is used to obtain the upper-bounds for convolutionally coded and turbo coded massive MIMO-OFDM systems for different code generators and receive antennas. In addition, complexity analysis of the log-likelihood ratio (LLR) values is performed using the approximate noise probability density function. The derived LLR computations can be time-consuming when the number of receive antennas is very large in massive MIMO-OFDM systems. Thus, a reduced complexity approximation is introduced using Newton’s interpolation with different polynomial orders and the results are compared with the exact simulations. The Neumann large matrix approximation is used to design the receiver for a zero-forcing equalizer by reducing the number of operations required in calculating the channel matrix inverse. Simulations are used to demonstrate that the results obtained using the derived equations match closely the Monte Carlo simulations.