A survey of dynamic spectrum allocation based on reinforcement learning algorithms in cognitive radio networks

doi:10.1007/s10462-018-9639-x

	A survey of dynamic spectrum allocation based on reinforcement learning algorithms in cognitive radio networks
	Wang, Yonghua 1,2; Ye, Zifeng 1; Wan, Pin 1; Zhao, Jiajun 1
刊名	ARTIFICIAL INTELLIGENCE REVIEW
	2019-03-01
卷号	51 期号:3 页码:493-506
关键词	Reinforcement learning Spectrum allocation Cognitive radio networks
ISSN号	0269-2821
DOI	10.1007/s10462-018-9639-x
通讯作者	Wang, Yonghua(sjzwyh@163.com)
英文摘要	Cognitive radio is an emerging technology that is considered to be an evolution for software device radio in which cognition and decision-making components are included. The main function of cognitive radio is to exploit spectrum holes or white spaces to address the challenge of the low utilization of radio resources. Dynamic spectrum allocation, whose significant functions are to ensure that cognitive users access the available frequency and bandwidth to communicate in an opportunistic manner and to minimize the interference between primary and secondary users, is a key mechanism in cognitive radio networks. Reinforcement learning, which rapidly analyzes the amount of data in a model-free manner, dramatically facilitates the performance of dynamic spectrum allocation in real application scenarios. This paper presents a survey on the state-of-the-art spectrum allocation algorithms based on reinforcement learning techniques in cognitive radio networks. The advantages and disadvantages of each algorithm are analyzed in their specific practical application scenarios. Finally, we discuss open issues in dynamic spectrum allocation that can be topics of future research.
资助项目	State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences[20180106] ; science and technology program of Guangdong Province[2016B090918031] ; degree and graduate education reform project of Guangdong Province[2016JGXM_MS_26] ; foundation of key laboratory of machine intelligence and advanced computing of the Ministry of Education[MSC-201706A] ; Guangdong Province ; Guangdong University of Technology ; [400170044]
WOS关键词	INTELLIGENCE
WOS研究方向	Computer Science
语种	英语
出版者	SPRINGER
WOS记录号	WOS:000463036600006
资助机构	State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences ; science and technology program of Guangdong Province ; degree and graduate education reform project of Guangdong Province ; foundation of key laboratory of machine intelligence and advanced computing of the Ministry of Education ; Guangdong Province ; Guangdong University of Technology
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/24942]
专题	中国科学院自动化研究所
通讯作者	Wang, Yonghua
作者单位	1.Guangdong Univ Technol, Sch Automat, Guangzhou 510006, Guangdong, Peoples R China 2.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Wang, Yonghua,Ye, Zifeng,Wan, Pin,et al. A survey of dynamic spectrum allocation based on reinforcement learning algorithms in cognitive radio networks[J]. ARTIFICIAL INTELLIGENCE REVIEW,2019,51(3):493-506.
APA	Wang, Yonghua,Ye, Zifeng,Wan, Pin,&Zhao, Jiajun.(2019).A survey of dynamic spectrum allocation based on reinforcement learning algorithms in cognitive radio networks.ARTIFICIAL INTELLIGENCE REVIEW,51(3),493-506.
MLA	Wang, Yonghua,et al."A survey of dynamic spectrum allocation based on reinforcement learning algorithms in cognitive radio networks".ARTIFICIAL INTELLIGENCE REVIEW 51.3(2019):493-506.