标题:Optical Wireless Communication Channel Measurements and Models
作者:Al-Kinani, Ahmed; Wang, Cheng-Xiang; Zhou, Li; Zhang, Wensheng
作者机构:[Al-Kinani, Ahmed; Wang, Cheng-Xiang] Heriot Watt Univ, Sch Engn & Phys Sci, Inst Sensors Signals & Syst, Edinburgh EH14 4AS, Midlothian, Scotland.; 更多
通讯作者:Wang, CX;Wang, ChengXiang
通讯作者地址:[Wang, CX]Southeast Univ, Mobile Commun Res Lab, Nanjing 211189, Jiangsu, Peoples R China.
来源:IEEE COMMUNICATIONS SURVEYS AND TUTORIALS
出版年:2018
卷:20
期:3
页码:1939-1962
DOI:10.1109/COMST.2018.2838096
关键词:Wireless infrared communications; visible light communications; optical; wireless channel characteristics; optical wireless channel measurements;; optical wireless channel models
摘要:Optical wireless communications (OWCs) refer to wireless communication technologies which utilize optical carriers in infrared, visible light, or ultraviolet bands of electromagnetic spectrum. For the sake of an OWC link design and performance evaluation, a comprehensive understanding and an accurate prediction of link behavior are indispensable. Therefore, accurate and efficient channel models are crucial for the OWC link design. This paper first provides a brief history of OWCs. It also considers OWC channel scenarios and their utilization trade-off in terms of optical carrier, range, mobility, and power efficiency. Furthermore, the main optical channel characteristics that affect the OWC link performance are investigated. A comprehensive overview of the most important OWCs channel measurement campaigns and channel models, primarily for wireless infrared communications and visible light communications, are presented. OWCs channel models are further compared in terms of computation speed, complexity, and accuracy. The survey considers indoor, outdoor, underground, and underwater communication environments. Finally, future research directions in OWCs channel measurements and models are addressed.
收录类别:EI;SCOPUS;SCIE
WOS核心被引频次:3
资源类型:期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85047220228&doi=10.1109%2fCOMST.2018.2838096&partnerID=40&md5=f15f064636858a070932938975b47e9d
TOP