南方科技大学知识苑(SUSTech KC): Implementation of Machine Learning-based Emergency Communication Using RoFSO-VLC/RF Convergence link

题名	Implementation of Machine Learning-based Emergency Communication Using RoFSO-VLC/RF Convergence link
作者	Song，Song 1; Liu，Xiangyu2 ; Liu，Yejun 1; Wu，Junxian 1; Wu，Tingwei 1; Guo，Lei 1
通讯作者	Liu，Xiangyu
发表日期	2022
会议名称	Optical Fiber Communications Conference and Exhibition (OFC)
ISBN	978-1-6654-7012-4
会议录名称	2022 Optical Fiber Communications Conference and Exhibition, OFC 2022 - Proceedings
页码	1-3
会议日期	6-10 March 2022
会议地点	San Diego, CA, USA
出版地	345 E 47TH ST, NEW YORK, NY 10017 USA
出版者	IEEE
摘要	This paper firstly experimentally demonstrates an ease of deployment integrated system to provide communication services for emergency responders, which employs machine-learning-based Radio-over-FSO system for outdoor fronthaul network and hybrid VLC/RF system for indoor access network.
关键词	Channel estimation Artificial neural networks Stability analysis Optical fiber communication Mobile applications Smart phones Convergence
学校署名	通讯
语种	英语
相关链接	[Scopus记录]
收录类别	CPCI-S ; EI
资助项目	NSFC["62025105","61775033"]
WOS研究方向	Engineering ; Optics ; Telecommunications
WOS类目	Engineering, Electrical & Electronic ; Optics ; Telecommunications
WOS记录号	WOS:000828152500414
EI入藏号	20221812050327
EI主题词	Emergency services ; Optical fiber communication ; Optical fibers
EI分类号	Optical Communication Systems:717.1 ; Fiber Optics:741.1.2 ; Accidents and Accident Prevention:914.1
Scopus记录号	2-s2.0-85128983799
来源库	Scopus
全文链接	https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9748702
引用统计	被引频次[WOS]：1
成果类型	会议论文
条目标识符	http://sustech.caswiz.com/handle/2SGJ60CL/333986
专题	南方科技大学
作者单位	1.Institute of Intelligent Communication and Network Security,Chongqing University of Posts and Telecommunications,Chongqing,China 2.Southern University of Science and Technology,School of Engineering,Shenzhen,China
通讯作者单位	南方科技大学
推荐引用方式 GB/T 7714	Song，Song,Liu，Xiangyu,Liu，Yejun,et al. Implementation of Machine Learning-based Emergency Communication Using RoFSO-VLC/RF Convergence link[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2022:1-3.