[1]罗 轶,施荣华,董 健,等.能量采集双向衬底式认知中继网络中断性能分析[J].南京理工大学学报(自然科学版),2019,43(03):292-299.
 Luo Yi,Shi Ronghua,Dong Jian,et al.Outage performance analysis of two-way underlay cognitiverelay network with energy harvesting[J].Journal of Nanjing University of Science and Technology,2019,43(03):292-299.
点击复制

能量采集双向衬底式认知中继网络中断性能分析()
分享到:

《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

卷:
43卷
期数:
2019年03期
页码:
292-299
栏目:
出版日期:
2019-06-30

文章信息/Info

Title:
Outage performance analysis of two-way underlay cognitiverelay network with energy harvesting
文章编号:
1005-9830(2019)03-0292-08
作者:
罗 轶12施荣华1董 健1冯倬惠2
1.中南大学 信息科学与工程学院,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
Author(s):
Luo Yi12Shi Ronghua1Dong Jian1Feng Zhuohui2
1.School of Information Science and Engineering,Central South University,Changsha 410083,China; 2.College of Information Science and Engineering,Hunan Normal University,Changsha 410081,China
关键词:
能量采集 双向 认知中继网络 硬件损伤模型 多天线 能量信标 瑞利分块衰落信道
Keywords:
energy harvesting two-way cognitive relay networks hardware impairment model multiple antennas power-beacon Rayleigh block fading channel
分类号:
TN929.53
摘要:
针对具有硬件损伤的能量受限网络传输效率低、生存周期短的问题,提出了基于硬件损伤模型和多天线能量信标(PB)辅助能量采集的衬底式双向认知中继网络模型。次网络节点发射功率由采集自多天线PB的射频信号能量和多主接收端的干扰约束共同决定。推导了次网络在瑞利分块衰落信道下中断概率的精确和渐近闭合解。理论分析和蒙特卡洛仿真结果表明:随着PB天线数目和发射功率、主网络干扰约束和能量转换效率的增加,次网络中断概率减小; 随着主接收节点数目、次网络节点硬件损伤水平以及PB与次网络间距离的增大,次网络中断概率提高。
Abstract:
Aiming at the problems of the short lifetime and low transmission efficiency of energy-constrained network with hardware impairments,an underlay two-way cognitive relay network is proposed based on a hardware impairment model and energy harvesting assisted by amulti-antenna power-beacon(PB). The transmission power of the secondary network nodes is determined by the radio frequency signal energy collected from the multi-antenna PB and the interference constraints of the multi primary receivers. The exact and asymptotic closed-form solutions of the secondary network’s outage probability for Rayleigh block fading channel are derived. The theoretical analysis and Monte Carlo simulation results show that the outage probability of the secondary network reduces with the increase of the number of PB’s antennas and their transmission power,interference constraints of the primary network and its energy conversion efficiency; the outage probability of the secondary network increases with the increase of the number of primary receiver nodes,the level of hardware impairments of secondary network nodes and the distance between PB and the secondary network.

参考文献/References:

[1] 张利峰,徐永华. 基于能量感知路由和节点过滤的虚假数据过滤算法[J]. 南京理工大学学报,2018,42(4):409-415.
Zhang Lifeng,Xu Yonghua. False report filtering scheme based on energy-aware routing and node filtering[J]. Journal of Nanjing University of Science and Technology,2018,42(4):409-415.
[2]李馥娟,王群,周倩. 链路质量感知无线传感器网络K近邻查询处理算法[J]. 南京理工大学学报,2018,42(5):533-539.
Li Fujuan,Wang Qun,Zhou Qian. Link-quality aware k-nearest neighbor query processing algorithm in WSN[J]. Journal of Nanjing University of Science and Technology,2018,42(5):533-539.
[3]Liu Yuanwei,Rousavifar S A,Deng Yansha,et al. Wireless energy harvesting in a cognitive relay network[J]. IEEE Transactions on Wireless Communications,2016,15(4):2498-2508.
[4]谢振威,朱琦. 基于能量协作的认知能量采集网络功率分配算法[J]. 通信学报,2017,38(9):176-184.
Xie Zhenwei,Zhu Qi. Power allocation algorithm for cognitive radio energy harvesting networks based on energy cooperation[J]. Journal on Communications,2017,38(9):176-184.
[5]Pranabesh M,Sanjay D R,Sumit K. Physical layer security in cognitive radio with energy harvesting relay and jamming in the presence of direct link[J]. IET Communications,2018,12(11):1389-1395.
[6]高洪元,杜亚男,张世铂,等. 能量采集认知无线电的量子蝙蝠最优合作策略[J]. 通信学报,2018,39(9):10-19.
Gao Hongyuan,Du Yanan,Zhang Shibo,et al. Optimal cooperative strategy based on quantum bat for cognitive radio of energy harvesting[J]. Journal on Communications,2018,39(9):10-19.
[7]Huang Kaibin,Lau V K N. Enabling wireless power transfer in cellular networks:Architecture,modeling and deployment[J]. IEEE Transactions on Wireless Communications,2014,13(2):902-912.
[8]Xu Chi,Zheng Meng,Liang Wei,et al. Outage performance of underlay multihop cognitive relay networks with energy harvesting[J]. IEEE Communications Letters,2016,20(6):1148-1151.
[9]Hieu T D,Buy T T,Dung L T,et al. Performance evaluation of relay selection schemes in beacon-assisted dual-hop cognitive radio wireless sensor networks under impact of hardware noises[J]. Sensors,2018,18(6):475-498.
[10]Zhang Xing,Zhang Zhenhai,Xing Jia,et al. Exact outage analysis in cognitive two-way relay networks with opportunistic relay selection under primary user’s interference[J]. IEEE Transactions on Vehicular Technology,2015,64(6):2502-5386.
[11]Afana A,Ghrayeb A,Asghari V R,et al. Distributed beamforming for two-way DF relay cognitive networks under primary-secondary mutual interference[J]. IEEE Transactions on Vehicular Technology,2015,64(9):3918-3930.
[12]Toan H V,Bao V N Q,Nguyen-le H. Cognitive two-way relay systems with primary receivers:Exact and asymptotic outage formulation[J]. IET Communications,2017,11(16):2490-2497.
[13]Nguyen D K,Jayakody D N K,Chatzinotas S,et al. Wireless energy harvesting assisted two-way cognitive relay networks:Protocol design and performance analysis[J]. IEEE Access,2017,5:21447-21460.
[14]Singh S,Modem S,Prakriya S. Optimization of cognitive two-way networks with energy harvesting relays[J]. IEEE Communications Letters,2017,21(6):1381-1384.
[15]Michail M,Agisilaos P,Emil B,et al. Two-way relaying under the presence of relay transceiver hardware impairments[J]. IEEE Communications Letters,2013,17(6):1136-1139.
[16]Sharma P K,Upadhyay P K. Cognitive relaying with transceiver impairments under interference constraints[J]. IEEE Communications Letters,2016,20(4):820-823.
[17]Gradshteyn I S,Rythik I M,Jeffrey A,et al. Table of integrals,series,and products[M]. 7th ed. Boston,USA:Academic Press,2007.

备注/Memo

备注/Memo:
收稿日期:2018-12-28 修回日期:2019-03-06
基金项目:国家自然科学基金(61872390); 湖南省自然科学基金(2018JJ2533)
作者简介:罗轶(1980-),男,讲师,博士生,主要研究方向:无线通信、认知无线网络,E-mail:km_luoyi@sina.com; 通讯作者:施荣华(1963-),男,教授,博士生导师,主要研究方向:计算机网络安全、认知无线网络、量子保密通信等,E-mail:shirh@csu.edu.cn。
引文格式:罗轶,施荣华,董健,等. 能量采集双向衬底式认知中继网络中断性能分析[J]. 南京理工大学学报,2019,43(3):292-299.
投稿网址:http://zrxuebao.njust.edu.cn
更新日期/Last Update: 2019-06-30