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首页> 外文期刊>Journal of computer networks and communications >ASEP of MIMO System with MMSE-OSIC Detection over Weibull-Gamma Fading Channel Subject to AWGGN
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ASEP of MIMO System with MMSE-OSIC Detection over Weibull-Gamma Fading Channel Subject to AWGGN

机译:基于AWGGN的Weibull-Gamma衰落信道上具有MMSE-OSIC检测的MIMO系统的ASEP

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Ordered successive interference cancellation (OSIC) is adopted with minimum mean square error (MMSE) detection to enhance the multiple-input multiple-output (MIMO) system performance. The optimum detection technique improves the error rate performance but increases system complexity. Therefore, MMSE-OSIC detection is used which reduces error rate compared to traditional MMSE with low complexity. The system performance is analyzed in composite fading environment that includes multipath and shadowing effects known as Weibull-Gamma (WG) fading. Along with the composite fading, a generalized noise that is additive white generalized Gaussian noise (AWGGN) is considered to show the impact of wireless scenario. This noise model includes various forms of noise as special cases such as impulsive, Gamma, Laplacian, Gaussian, and uniform. Consequently, generalized Q-function is used to model noise. The average symbol error probability (ASEP) of MIMO system is computed for 16-quadrature amplitude modulation (16-QAM) using MMSE-OSIC detection in WG fading perturbed by AWGGN. Analytical expressions are given in terms of Fox-H function (FHF). These expressions demonstrate the best fit to simulation results.
机译:采用有序连续干扰消除(OSIC)和最小均方误差(MMSE)检测,以增强多输入多输出(MIMO)系统性能。最佳检测技术可提高错误率性能,但会增加系统复杂性。因此,与复杂度低的传统MMSE相比,使用MMSE-OSIC检测可降低错误率。在包括多径和阴影效应(称为Weibull-Gamma(WG)衰落)的复合衰落环境中分析了系统性能。伴随着复合衰落,被认为是加性白色广义高斯噪声(AWGGN)的广义噪声可以显示无线场景的影响。这种噪声模型包括各种形式的噪声,例如脉冲噪声,伽马噪声,拉普拉斯噪声,高斯噪声和均匀噪声。因此,广义Q函数用于建模噪声。使用AWGGN干扰的WG衰落中的MMSE-OSIC检测,针对16正交幅度调制(16-QAM)计算MIMO系统的平均符号错误概率(ASEP)。解析表达式是根据Fox-H函数(FHF)给出的。这些表达式证明最适合模拟结果。

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