
FOLLOWUS
1.School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
2.School of Biochemical and Environmental Engineering, Nanjing Xiao Zhuang University, Nanjing 210011, China
[ "Yu-wen QIAN, E-mail:admon1999@163.com" ]
收稿:2015-04-28,
修回:2015-09-16,
纸质出版:2015-10
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电力线通信网络中具有网络编码功能的双向中继系统的性能分析[J]. 信息与电子工程前沿(英文), 2015,16(10):892-898.
QIAN Yu-wen, TIAN Meng, JIANG Xue, et al. Performance analysis for a two-way relaying power line network with analog network coding[J]. Frontiers of Information Technology & Electronic Engineering, 2015, 16(10): 892-898.
电力线通信网络中具有网络编码功能的双向中继系统的性能分析[J]. 信息与电子工程前沿(英文), 2015,16(10):892-898. DOI: 10.1631/FITEE.1500135.
QIAN Yu-wen, TIAN Meng, JIANG Xue, et al. Performance analysis for a two-way relaying power line network with analog network coding[J]. Frontiers of Information Technology & Electronic Engineering, 2015, 16(10): 892-898. DOI: 10.1631/FITEE.1500135.
目的
2
面向具有深度衰落的电力线通信信道,分析具有网络编码功能的双向电力线中继系统的中断概率、误符号率以及平均信道容量。
创新点
2
在电力线通信网络中使用一种两阶段的中继通协议,从而可以使用网络编码技术提高通信效率,并使用Hermite多项式推导出系统的性能指标。
方法
2
首先,考虑电力线通信信道与传统信道的不同,针对具有脉冲噪声的电力线信道,建立具有编码功能的中继系统的系统模型(图1)。然后,针对建立的模型,分析接收端信噪比的表达式。应用电力线信道幅值的概率分布函数,推导接收端信噪比的概率分布函数。应用Hermite多项式推导出具有网络编码功能的双向中继系统的中断概率、误符号率以及平均系统容量。最后,根据实际的电力线系统建立仿真环境,在该环境中使用蒙特卡洛方法对推导的结果进行验证。仿真结果证明了推导的正确性。
结论
2
针对具有深度衰落的电力线信道,提出一种可靠的具有网络编码功能的双向中继通信系统,提高系统的通信效率与通信可靠性。推导该系统中中断概率、无符号率以及平均系统容量的闭合式,仿真结果证明其正确性。
In this paper
we investigate a two-way relaying power line communication (PLC) network with analog network coding. We focus on the analysis of the system outage probability
symbol error rate
and average capacity. Specifically
we first derive the probability density function (PDF) of the received signal-to-noise ratio (SNR) with a closed form
by exploiting the statistical properties of the PLC channel. Then with the help of this PDF
we develop the outage probability
symbol error rate
and average capacity with closed forms
based on the Hermite polynomial. Simulations show that the derived analytical results are consistent with those by Monte Carlo simulation.
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