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面向电力物联网的5G通信认知无线电NOMA系统研究 被引量:19

Research on Cognitive Radio Non-orthogonal Multiple Access System in 5G Communications Oriented to Ubiquitous Power Internet of Things
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摘要 随着电力物联网建设的不断推进,配电网中产生的数据量呈指数增长,传统基于认知无线电的智能电力通信网络已无法满足大量用电信息采集设备对频谱资源高度需求。构建了面向电力物联网的5G网络模型,旨在利用非正交多址接入(non-orthogonal multiple access,NOMA)技术的非正交传输特性进一步提高有限电力专网的频谱资源利用率,为保证频谱检测的准确性,采用多用户协作感知方式。推导了频谱接入概率和吞吐量的闭合表达式;为进一步提高分类结果的准确性,提出了一种改进K-means算法。利用交替迭代算法对检测时间、节点功率和用户簇数进行联合优化,以最大化系统吞吐量。仿真结果表明,与传统正交多址接入系统相比,在改善频谱利用率的同时,感知结果的准确性也得到明显提高。 With the continuous advancement of the construction of the power Internet of Things,the power distribution network has seen exponential growth of data volume.As a result,the traditional smart power communication network based on cognitive radio is no longer capable of meeting the high demand for spectrum resources by a large number of devices that are installed to collect power consumption data.This paper constructs a 5G network model for the power Internet of Things,which aims to use the non-orthogonal transmission characteristics of non-orthogonal multiple access(NOMA)technology to further improve the spectrum resource utilization of the limited power private network.To ensure the accuracy of spectrum detection,a multi-user cooperative sensing method is adopted.The closed expressions of spectrum access probability and throughput are derived;in order to further increase the accuracy of the classification results,an improved K-means algorithm is proposed.The alternate iterative algorithm is implemented to jointly optimize the detection time,node power and the number of user clusters such that the system throughput can be maximized eventually.The simulation results show that compared with the traditional orthogonal multiple access system,not only the spectrum utilization but also the accuracy of the sensing results are significantly improved.
作者 佘蕊 张宁池 王艳茹 郭丹丹 马文洁 刘卉 张洁 SHE Rui;ZHANG Ningchi;WANG Yanru;GUO Dandan;MA Wenjie;LIU Hui;ZHANG Jie(Communication Technology Center,State Grid Information&Telecommunication Group Beijing Zhongdian Feihua Communications Co.,Ltd.,Beijing 100071,China)
出处 《中国电力》 CSCD 北大核心 2021年第5期35-45,共11页 Electric Power
基金 国家电网公司科技项目(5700-201941235A-0-0-00)。
关键词 电力物联网 5G通信 认知无线电 非正交多址 智能电网 power internet of things 5G communication cognitive radio non-orthogonal multiple access smart grid
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  • 1Xun Dou,Jun Wang,Zhen Wang,Lijuan Li,Linquan Bai,Shuhui Ren,Min Gao.A Dispatching Method for Integrated Energy System Based on Dynamic Time-interval of Model Predictive Control[J].Journal of Modern Power Systems and Clean Energy,2020,8(5):841-852. 被引量:5
  • 2Ansari C L N. The progressive smart grid system fromboth power and communication aspects [ J ]. IEEE Com-mun Surveys Tuts, 2012, 14(3) : 799-821.
  • 3Ruangchaijatupon N, Ji Yusheng. Simple proportionalfairness scheduling for OFDMA frame-based wireless sys-tems [C] // Wireless Communications and NetworkingConference. Las Vegas, NV : IEEE, 2008 : 1593-1597.
  • 4He Qing, Zhou Huaibei. Research on the routing algo-rithm based on QoS requirement for cognitive radio net-works [ C] // Computer Science and Software Engineering,International Conference on. Wuhan, Hubei: [s. n.],2008: 114-117.
  • 5Al-Fuqaha A, Khan B , Rayes A. Opportunistic channelselection strategy for better QoS in cooperative networkswith cognitive radio capabilities [ J ]. Selected Areas inCommunications, IEEE Journal on, 2008,26(1): 156-167.
  • 6Neely M J. Opportunistic scheduling with worst case delayguarantees in single and multi-hop networks [ C ] // Pro-ceedings of the IEEE INFOCOM. Shanghai: [s. n.],2011 : 1728-1736.
  • 7Deshpande J G, Kim E, Thottan M. Differentiated serv-ices QoS in smart grid communication networks [ J]. BellLabs Technical Journal, 2011,16 (3SI) ; 61-81.
  • 8Shah G A, Gungor V C , Akan 0 B. A cross-layer designfor QoS support in cognitive radio sensor networks forsmart grid applications[ C]in Proc IEEE ICC. Ottawa,Canada: [s. n. ],2012: 1378-1382.
  • 9Shah G A, Gungor V C, Akan OB. A cross-layer QoS-aware communication framework in cognitive radio sensornetworks for smart grid applications [ J]. Industrial Infor-matics IEEE Transactions, 2013 , 9(3) : 1477-1485.
  • 10CORDEIRO C, CHALLAPALI K, BIRRU D, et al. IEEE 802.22: the first worldwide wireless standard based on cognitive radios[C] //IEEE International Symposium on Dynamic Spectrum Access Networks, Baltimore, IEEE, 2005: 328-337.

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