κ-μ衰落下能量采集认知中继网络性能分析

doi:10.19665/j.issn1001-2400.2020.01.008

西安电子科技大学学报 ›› 2020, Vol. 47 ›› Issue (1): 52-59.doi: 10.19665/j.issn1001-2400.2020.01.008

κ-μ衰落下能量采集认知中继网络性能分析

罗轶^1,²,施荣华³(),董健³,王雨婷²

^1. 中南大学自动化学院,湖南长沙 410083
^2. 湖南师范大学信息科学与工程学院,湖南长沙 410081
^3. 中南大学计算机学院,湖南长沙 410083

收稿日期:2019-05-26 出版日期:2020-02-20 发布日期:2020-03-19
作者简介:罗轶(1980—),男,讲师,中南大学博士研究生,E-mail:m_luoyi@sina.com
基金资助:
国家自然科学基金(61872390);湖南省自然科学基金(2018JJ2533)

Analysis of the performance of energy harvesting cognitive relay networks over κ-μ fading

LUO Yi^1,²,SHI Ronghua³(),DONG Jian³,WANG Yuting²

^1. School of Automation, Central South University, Changsha 410083, China
^2. College of Information Science and Engineering, Hunan Normal University, Changsha 410081, China
^3. School of Computer, Central South University, Changsha 410083, China

Received:2019-05-26 Online:2020-02-20 Published:2020-03-19

摘要/Abstract

摘要：

针对能量受限认知中继网络覆盖范围小、生存周期短和链路信道衰减多样化的问题,研究了能量采集多跳认知中继网络在κ-μ衰落信道下的中断性能。首先采用κ-μ分布表征多种单一和混合的视距和非视距衰落信道场景;然后构建专用功率信标辅助能量采集的衬底式多跳译码转发认知中继网络模型;推导了次网络在κ-μ衰落信道下的精确和渐近统一中断概率解析式。仿真结果表明,在各种衰落信道场景情况下,功率信标信号功率和/或主网络干扰约束的增大将使次网络中断概率单调下降并趋于饱和。当主网络干扰约束较低时,网络链路信道状况的恶化将降低次网络中断概率;而当主网络干扰约束较高时,网络链路信道状况的改善将提升次网络中断性能。根据衰落信道场景类型来合理设置跳数和能量采集比率, 将降低次网络中断概率。

关键词: κ-μ分布, 衰落信道, 能量采集, 认知中继网络, 中断性能

Abstract:

Aiming at the problems of small coverage, short lifetime and diversity link channel attenuation in energy-constrained cognitive relay networks, the outage performance of energy harvesting multi-hop cognitive relay networks over complicated fading channel scenarios are studied. First, the κ-μ distribution is adopted to represent various single and mixed line-of-sight and non-line-of-sight fading channel scenarios. Then the dedicated power beacon assisted energy harvesting underlay multi-hop decode-and-forward cognitive relay networks are constructed. The exact and asymptotic unified outage probability expressions for secondary networks are derived over the κ-μ fading channels. Simulation results show that the secondary outage probability can be monotonically decreased with the increase of the power beacon signal’s power or/and primary networks’ interference constraint until it tends to saturation on the condition of various fading channel scenarios, and the secondary networks’ outage probability can be degraded with the deterioration of the channel link condition when the primary networks’ interference constraint is lower, and the secondary networks’ outage performance can also be increased with the improvement of the channel link condition when the primary networks’ interference constraint is higher. The secondary networks’ outage probability can be decreased by reasonable settings of the hop number and energy harvesting ratio according to the type of fading channel scenarios.

Key words: distribution, fading channels, energy harvesting, cognitive relay networks, outage performance

中图分类号:

TN929.53

罗轶,施荣华,董健,王雨婷. κ-μ衰落下能量采集认知中继网络性能分析[J]. 西安电子科技大学学报, 2020, 47(1): 52-59.

LUO Yi,SHI Ronghua,DONG Jian,WANG Yuting. Analysis of the performance of energy harvesting cognitive relay networks over κ-μ fading[J]. Journal of Xidian University, 2020, 47(1): 52-59.

图/表 8

图1

表1

第i跳衰落信道场景参数设置"

信道场景	$κ 3 i - 2$	$μ 3 i - 2$	$κ 3 i - 1$	$μ 3 i - 1$	$κ 3 i$	$μ 3 i$
Rayleigh	0.001	1	0.001	1	0.001	1
Rician	$K$	1	$K$	1	$K$	1
Nakagami-m	0.001	m	0.001	m	0.001	m
κ-μ	$K$	$μ$	$K$	$μ$	$K$	$μ$
Nakagami-m/Rician/Rayleigh	0.001	m	$K$	1	0.001	1
Nakagami-m/Rician/Rician	0.001	m	$K$	1	$K$	1
Nakagami-m/Rician/κ-μ	0.001	m	$K$	1	$K$	$μ$
κ-μ/Rician/Rayleigh	$K$	$μ$	$K$	1	0.001	1
κ-μ/Rician/Rician	$K$	$μ$	$K$	1	$K$	1
κ-μ/Rician/κ-μ	$K$	$μ$	$K$	1	$K$	$μ$

表1

图2

图3

图4

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图7

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κ-μ衰落下能量采集认知中继网络性能分析

Analysis of the performance of energy harvesting cognitive relay networks over κ-μ fading

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