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同频干扰下κ-μ阴影衰落信道中最大比值合并(MRC)的中断概率

Outage Probability of MRC for κ-μ Shadowed Fading Channels under Co-Channel Interference.

作者信息

Chen Changfang, Shu Minglei, Wang Yinglong, Yang Ming, Zhang Chongqing

机构信息

Shandong Computer Science Center (National Supercomputer Center in Jinan), Jinan 250014, China, Shandong Provincial Key Laboratory of Computer Networks, Jinan 250014, China.

College of Information Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China.

出版信息

PLoS One. 2016 Nov 16;11(11):e0166528. doi: 10.1371/journal.pone.0166528. eCollection 2016.

DOI:10.1371/journal.pone.0166528
PMID:27851817
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5112959/
Abstract

In this paper, exact closed-form expressions are derived for the outage probability (OP) of the maximal ratio combining (MRC) scheme in the κ-μ shadowed fading channels, in which both the independent and correlated shadowing components are considered. The scenario assumes the received desired signals are corrupted by the independent Rayleigh-faded co-channel interference (CCI) and background white Gaussian noise. To this end, first, the probability density function (PDF) of the κ-μ shadowed fading distribution is obtained in the form of a power series. Then the incomplete generalized moment-generating function (IG-MGF) of the received signal-to-interference-plus-noise ratio (SINR) is derived in the closed form. By using the IG-MGF results, closed-form expressions for the OP of MRC scheme are obtained over the κ-μ shadowed fading channels. Simulation results are included to validate the correctness of the analytical derivations. These new statistical results can be applied to the modeling and analysis of several wireless communication systems, such as body centric communications.

摘要

本文推导了κ-μ阴影衰落信道中最大比合并(MRC)方案中断概率(OP)的精确闭式表达式,其中同时考虑了独立和相关的阴影分量。该场景假设接收到的期望信号受到独立瑞利衰落同信道干扰(CCI)和背景白高斯噪声的影响。为此,首先以幂级数形式获得κ-μ阴影衰落分布的概率密度函数(PDF)。然后以闭式形式推导接收信号与干扰加噪声比(SINR)的不完全广义矩生成函数(IG-MGF)。通过使用IG-MGF结果,在κ-μ阴影衰落信道上获得了MRC方案OP的闭式表达式。给出了仿真结果以验证解析推导的正确性。这些新的统计结果可应用于多种无线通信系统的建模和分析,如人体中心通信。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3705/5112959/1d41a8fe0af4/pone.0166528.g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3705/5112959/d322f42daa10/pone.0166528.g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3705/5112959/a26673c032c6/pone.0166528.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3705/5112959/c2bc436b6a13/pone.0166528.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3705/5112959/04187186c216/pone.0166528.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3705/5112959/8670c4042c26/pone.0166528.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3705/5112959/232ec404c420/pone.0166528.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3705/5112959/1d41a8fe0af4/pone.0166528.g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3705/5112959/d322f42daa10/pone.0166528.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3705/5112959/26c2f14e979b/pone.0166528.g002.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3705/5112959/c2bc436b6a13/pone.0166528.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3705/5112959/04187186c216/pone.0166528.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3705/5112959/8670c4042c26/pone.0166528.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3705/5112959/232ec404c420/pone.0166528.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3705/5112959/1d41a8fe0af4/pone.0166528.g008.jpg

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