A Multi-Antenna Spectrum Sensing Scheme Based on Main Information Extraction and Genetic Algorithm Clustering

doi:10.1109/ACCESS.2019.2936511

CORC > 自动化研究所 > 中国科学院自动化研究所 > 复杂系统管理与控制国家重点实验室

	A Multi-Antenna Spectrum Sensing Scheme Based on Main Information Extraction and Genetic Algorithm Clustering
	Zhuang, Jiawei 1; Wang, Yonghua 1,2; Zhang, Shunchao 1; Wan, Pin 1,3; Sun, Chenhao 1
刊名	IEEE ACCESS
	2019
卷号	7 页码:119620-119630
关键词	Spectrum sensing principal component analysis information fusion genetic algorithm clustering
ISSN号	2169-3536
DOI	10.1109/ACCESS.2019.2936511
通讯作者	Wang, Yonghua(sjzwyh@163.com)
英文摘要	Spectrum sensing is an indispensable technology for cognitive radio networks, which enables secondary users (SUs) to discover spectrum holes and to opportunistically use under-utilized channels without causing interference to primary users. Aim at improving the sensing performance, a multi-antenna spectrum sensing scheme based on main information extraction and genetic algorithm clustering (MIEGAC) is proposed in this paper. Specifically, in order to reduce the amount of signal that is transferred to the fusion center, an information pre-processing scheme based on principal component analysis (PCA) is presented. Main information from the sensing signal is extracted via PCA, which reduces the cost of the reporting channel and the impact of interfering information on detection result. Furthermore, an information fusion method is described in this paper, which takes the place of complicated matrix decomposition algorithms. Moreover, inspired by machine learning, a clustering scheme based on genetic algorithm is introduced to classify signal features, which implements the spectrum sensing decision and avoids calculating the decision threshold. Simulation results illustrate that the MIEGAC can considerably improve the sensing performance for spectrum sensing. Significantly, this paper provides a novel approach for the design of centralized spectrum sensing algorithms in cognitive radio technologies.
资助项目	State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences[20180106] ; National Natural Science Foundation of China[61971147] ; Foundation of Key Laboratory of Machine Intelligence and Advanced Computing of the Ministry of Education[MSC-201706A] ; School-Enterprise Collaborative Education Project of Guangdong Province[PROJ1007512221732966400] ; Foundation of National and Local Joint Engineering Research Center of Intelligent Manufacturing Cyber-Physical Systems[008] ; higher education quality projects of Guangdong Province and Guangdong University of Technology ; Guangdong Provincial Key Laboratory of Cyber-Physical Systems[008] ; [400170044] ; [400180004]
WOS关键词	COGNITIVE RADIO NETWORKS ; 5G
WOS研究方向	Computer Science ; Engineering ; Telecommunications
语种	英语
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:000509363100001
资助机构	State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences ; National Natural Science Foundation of China ; Foundation of Key Laboratory of Machine Intelligence and Advanced Computing of the Ministry of Education ; School-Enterprise Collaborative Education Project of Guangdong Province ; Foundation of National and Local Joint Engineering Research Center of Intelligent Manufacturing Cyber-Physical Systems ; higher education quality projects of Guangdong Province and Guangdong University of Technology ; Guangdong Provincial Key Laboratory of Cyber-Physical Systems
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/29485]
专题	自动化研究所_复杂系统管理与控制国家重点实验室
通讯作者	Wang, Yonghua
作者单位	1.Guangdong Univ Technol, Sch Automat, Guangzhou 510006, Peoples R China 2.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 3.South Cent Univ Nationalities, Hubei Key Lab Intelligent Wireless Commun, Wuhan 430074, Peoples R China
推荐引用方式 GB/T 7714	Zhuang, Jiawei,Wang, Yonghua,Zhang, Shunchao,et al. A Multi-Antenna Spectrum Sensing Scheme Based on Main Information Extraction and Genetic Algorithm Clustering[J]. IEEE ACCESS,2019,7:119620-119630.
APA	Zhuang, Jiawei,Wang, Yonghua,Zhang, Shunchao,Wan, Pin,&Sun, Chenhao.(2019).A Multi-Antenna Spectrum Sensing Scheme Based on Main Information Extraction and Genetic Algorithm Clustering.IEEE ACCESS,7,119620-119630.
MLA	Zhuang, Jiawei,et al."A Multi-Antenna Spectrum Sensing Scheme Based on Main Information Extraction and Genetic Algorithm Clustering".IEEE ACCESS 7(2019):119620-119630.