Resonant Beam Communications:A New Design Paradigm and ChallengesOA
Resonant beam communications (RBCom), which adopts oscillating photons between two separate retroreflectors for information transmission, exhibits potential advantages over other types of wireless optical communications (WOC). However, echo interference generated by the modulated beam reflected from the receiver affects the transmission of the desired information. To tackle this challenge, a synchronization-based point-to-point RBCom system is proposed to eliminate the echo interference, and the design for the transmitter and receiver is discussed. Subsequently,the performance of the proposed RBCom is evaluated and compared with that of visible light communications(VLC)and free space optical communications (FOC). Finally, future research directions are outlined and several implementation challenges of RBCom systems are highlighted.
Yuanming Tian;Dongxu Li;Chuan Huang;Qingwen Liu;Shengli Zhou;
Future Network of Intelligence Institute and School of Science and Engineering,the Chinese University of Hong Kong,Shenzhen 518172,ChinaSchool of Science and Engineering and the Future Network of Intelligence Institute,the Chinese University of Hong Kong,Shenzhen 518172,ChinaCollege of Electronics and Information Engineering,Tongji University,Shanghai 201804,ChinaDepartment of Electrical and Computer Engineering,University of Connecticut,Storrs,CT 06250,USA
电子信息工程
resonant beam communications(RBCom)wireless optical communications(WOC)echo interference eliminationmobilitymultiple access
《Journal of Communications and Information Networks》 2024 (001)
P.80-87 / 8
supported in part by the Natural Science Foundation of China under Grant 62341112;in part by the Basic Research Project of Hetao Shenzhen-HK S&T Cooperation Zone under Grant HZQBKCZYZ-2021067;in part by the Key Project of Shenzhen under Grant JCYJ20220818103006013;in part by Shenzhen High-Tech Zone Project under Grant KC2022KCCX0041;in part by Guangdong Provincial Key Laboratory of Future Networks of Intelligence under Grant 2022B1212010001;in part by Shenzhen Key Laboratory of Big Data and Artificial Intelligence under Grant ZDSYS201707251409055.
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