[1]张 喆,曾令康,姚晓勇,等.一种基于QoS的智能电力通信业务差分调度机制[J].南京理工大学学报(自然科学版),2020,44(01):74-79.[doi:10.14177/j.cnki.32-1397n.2020.44.01.012]
 Zhang Zhe,Zeng Lingkang,Yao Xiaoyong,et al.QoS-based differential scheduling mechanism forsmart grid communication services[J].Journal of Nanjing University of Science and Technology,2020,44(01):74-79.[doi:10.14177/j.cnki.32-1397n.2020.44.01.012]
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一种基于QoS的智能电力通信业务差分调度机制()
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《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

卷:
44卷
期数:
2020年01期
页码:
74-79
栏目:
出版日期:
2020-02-29

文章信息/Info

Title:
QoS-based differential scheduling mechanism forsmart grid communication services
文章编号:
1005-9830(2020)01-0074-06
作者:
张 喆1曾令康1姚晓勇2冯 笑2李 颖3
1.国网信通产业集团有限公司,北京 100031; 2.国网信通亿力科技有限责任公司,福建 福州 350003; 3.北京邮电大学 网络与交换技术国家重点实验室,北京 100876
Author(s):
Zhang Zhe1Zeng Lingkang1Yao Xiaoyong2Feng Xiao2Li Ying3
1.State Information and Communication Industry Group Co.,Ltd.,Beijing 100031,China; 2.State Network ICT-billion Technology Limited Liability Company,Fuzhou 350000,China; 3.State Key Laboratory of Network and Switching Technology,Beijing University of Posts andTelecommunications,Beijing 100876,China
关键词:
电力通信业务 优先级 服务质量 业务差分调度 神经网络 传输时延 频带利用率
Keywords:
power communication service priority quality of service service differential scheduling neural network transmission delay band utilization
分类号:
TP391
DOI:
10.14177/j.cnki.32-1397n.2020.44.01.012
摘要:
为保障智能电力通信业务差异化的服务质量(Quality of service,QoS)要求,该文首先考虑了传输中断和紧急数据传输对业务造成的影响,并建立了基于认知无线电的QoS优先级模型。提出了一种基于QoS的智能电力通信业务差分调度机制。该机制通过引入神经网络以优化传输机制,从而使系统平均时延最小。仿真结果表明,该文提出的差分调度机制保障了高优先级次要用户的低传输时延,同时将紧急数据的传输时延也限制在了很低的范围内,保障了各类智能电力通信业务的QoS要求。
Abstract:
In order to guarantee the different quality of service requirements of smart grid services,the impact of transmission disruption and emergency data are considered and a QoS priority model based on the cognitive radio is established. A QoS-based differential services scheduling mechanism in smart grid communication networks is proposed. The neural network is introduced to optimize the transmission strategy,so that the average delay of the system is minimized. The simulation results show that the proposed scheme can guarantee the low transmission delay of high-priority secondary users while limiting the transmission delay of the emergency data to a very low range,and ensure the QoS requirements of all kinds of smart grid communication services.

参考文献/References:

[1] 黄波,赵春霞,孙亚民. 基于Petri网与动态加权启发策略的FMS调度优化[J]. 南京理工大学学报,2010,34(4):482-486.
Huang Bo,Zhao Chunxia,Sun Yamin. FMS scheduling optimization based on petri nets and dynamic weighted heuristics[J]. Journal of Nanjing University of Science and Technology,2010,34(4):482-486.
[2]李千目,张宏,戚湧. 移动通信的服务保障方法研究[J]. 南京理工大学学报,2007,31(6):695-700.
Li Qianmu,Zhang Hong,Qi Yong. Research on service guarantee method of mobile communication[J]. Journal of Nanjing University of Science and Technology,2007,31(6):695-700.
[3]Won-Yeol L,Akyildiz I F. Optimal spectrum sensing framework for cognitive radio networks[J]. IEEE Transactions on Wireless Communications,2008,7(10):3845-3857.
[4]Gungor V C,Sahin D. Cognitive radio networks for smart grid applications:a promising technology to overcome spectrum inefficiency[J]. IEEE Vehicular Technology Magazine,2012,7(2):41-46.
[5]Xu Siya,Wei Lei,Liu Zhu,et al. A QoS-aware packet scheduling mechanism in cognitive radio networks for smart grid applications[J]. China Communications,2016,13(2):68-786.
[6]Chen Shuaifei,Zhang Jiayi,Karagiannidis G K,et al. Effective rate of MISO systems over fisher-snedecor F fading channels[J]. IEEE Communications Letters,2018,22(12):2619-2622
[7]Zhang Jiayi,Tan Zhenhui,Wang Haibo,et al. The effective throughput of MISO systems over κ-μ fading channels[J]. IEEE Transactions on Vehicular Technology,2014,62(2):943-947
[8]Zhang Jiayi,Dai Linglong,Gerstacker W H,et al. Effective capacity of communication systems over κ-μ shadowed fading channels[J]. Electronics Letters,2015,51(19):1540-1542.
[9]Lin T H,Yang G C,Kwong W C. A homogeneous multi-radio rendezvous algorithm for cognitive radio networks[J]. IEEE Communications Letters,2019,23(4):736-739.

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备注/Memo

备注/Memo:
收稿日期:2018-11-08 修回日期:2019-02-22
作者简介:张喆(1979-),男,高级工程师,主要研究方向:电力通信,E-mail:zhangzhe@sgitg.sgcc.com.cn; 通讯作者:李颖(1994-),女,硕士生,主要研究方向:电力通信网管理与优化,E-mail:wche@bupt.edu.cn。
引文格式:张喆,曾令康,姚晓勇,等. 一种基于QoS的智能电力通信业务差分调度机制[J]. 南京理工大学学报,2020,44(1):74-79.
投稿网址:http://zrxuebao.njust.edu.cn
更新日期/Last Update: 2020-02-29