Zobrazeno 1 - 10
of 131
pro vyhledávání: '"Kazuhiko Fukawa"'
Spectrum Sensing Scheme Measuring Packet Lengths of Interfering Systems for Dynamic Spectrum Sharing
Publikováno v:
IEEE Access, Vol 9, Pp 135160-135166 (2021)
For the dynamic spectrum sharing (DSS), this paper proposes a spectrum sensing scheme that measures packet lengths of interfering systems. DSS requires spectrum sensing techniques to measure a length of time for which the interfering systems use a ch
Externí odkaz:
https://doaj.org/article/5d46401a60fb44f385e98d76fe1c0da2
Autor:
Yuyuan CHANG, Kazuhiko FUKAWA
Publikováno v:
IEICE Transactions on Communications.
Publikováno v:
IEICE Transactions on Communications. :1441-1453
Spectrum Sensing Scheme Measuring Packet Lengths of Interfering Systems for Dynamic Spectrum Sharing
Publikováno v:
IEEE Access, Vol 9, Pp 135160-135166 (2021)
For the dynamic spectrum sharing (DSS), this paper proposes a spectrum sensing scheme that measures packet lengths of interfering systems. DSS requires spectrum sensing techniques to measure a length of time for which the interfering systems use a ch
Publikováno v:
2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring).
Publikováno v:
2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring).
Autor:
Kittikom Sangrit, Somchart Fugkeaw, Seksan Laitrakun, Kazuhiko Fukawa, Suthum Keerativittayanun, Jessada Karnjana
Publikováno v:
2021 13th International Conference on Information Technology and Electrical Engineering (ICITEE).
Autor:
Kenichi Tsuchida, Miyasaka Hiroaki, Kenichi Murayama, Shingo Asakura, Madoka Nakamura, Kazuhiko Fukawa
Publikováno v:
The Journal of The Institute of Image Information and Television Engineers. 73:993-1003
Publikováno v:
VTC Spring
Initially, the automatic identification system (AIS) aims at ship-to-ship or ship-to-coast wireless communications. To enhance AIS, Japan Aerospace Exploration Agency (JAXA) has conducted an experiment named space based AIS experiment (SPAISE), which
Publikováno v:
2021 9th International Electrical Engineering Congress (iEECON).
This paper proposes the improved indoor human detection algorithm from data provided by W-Band FMCW radar by using k-mean technique. The data provided by the radar contain both humans and nun-human objects. To identify non-human objects, the obtained