TY - GEN
T1 - TCP throughput characteristics over 5G millimeterwave network in indoor train station
AU - Okano, Mayuko
AU - Hasegawa, Yohei
AU - Kanai, Kenji
AU - Wei, Bo
AU - Katto, Jiro
N1 - Funding Information:
ACKNOWLEDGMENT This work was supported by the R&D contract “Wired-and-Wireless Converged Radio Access Network for Massive IoT Traffic” with the Ministry of Internal Affairs and Communications, Japan, for radio resource enhancement and partially supported by Grant-in-Aid for Scientific Research (15H01684 and 17K12681) of JSPS in Japan.
Funding Information:
This work was supported by the RandD contract "Wiredand- Wireless Converged Radio Access Network for Massive IoT Traffic" with the Ministry of Internal Affairs and Communications, Japan, for radio resource enhancement and partially supported by Grant-in-Aid for Scientific Research (15H01684 and 17K12681) of JSPS in Japan.
Publisher Copyright:
© 2019 IEEE.
PY - 2019/4
Y1 - 2019/4
N2 - To realize highly reliable video surveillance and provide ultrahigh-definition/immersive video streaming, it is planned to adopt the 5G cellular system using millimeter-wave (mmWave) as the wireless-network infrastructure. However, mmWave communication has a challenging issue: mmWave communication is extremely sensitive to obstacles, such as walls, pillars, and even human bodies, and this issue easily increases the packet loss rates and round trip time (RTT) (or disconnection from the base station) due to a no line of sight (NLOS) environment. Therefore, in this work, 5G throughput performances were evaluates in an indoor train station by considering the effect of an NLOS environment caused by blockage by human bodies. In addition, to improve the robustness of TCP transmission in a high-RTT and high-packet-loss environment (e.g., an NLOS environment), a state-of-the-art TCP, TCP-FSO, was used. In the evaluations, the MATLAB 5G library was used to simulate the 5G environment, and a Linux software-based network emulator, Traffic Control, was used to emulate the 5G network. From the evaluations, it the 5G mobile throughput characteristics were confirmed in three different crowded patterns (low, middle, and high density), and the TCP-FSO advantage against CUBIC-TCP was validated.
AB - To realize highly reliable video surveillance and provide ultrahigh-definition/immersive video streaming, it is planned to adopt the 5G cellular system using millimeter-wave (mmWave) as the wireless-network infrastructure. However, mmWave communication has a challenging issue: mmWave communication is extremely sensitive to obstacles, such as walls, pillars, and even human bodies, and this issue easily increases the packet loss rates and round trip time (RTT) (or disconnection from the base station) due to a no line of sight (NLOS) environment. Therefore, in this work, 5G throughput performances were evaluates in an indoor train station by considering the effect of an NLOS environment caused by blockage by human bodies. In addition, to improve the robustness of TCP transmission in a high-RTT and high-packet-loss environment (e.g., an NLOS environment), a state-of-the-art TCP, TCP-FSO, was used. In the evaluations, the MATLAB 5G library was used to simulate the 5G environment, and a Linux software-based network emulator, Traffic Control, was used to emulate the 5G network. From the evaluations, it the 5G mobile throughput characteristics were confirmed in three different crowded patterns (low, middle, and high density), and the TCP-FSO advantage against CUBIC-TCP was validated.
KW - 5G
KW - TCP-FSO
KW - cellular mmWave communication
KW - human-body blockage
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U2 - 10.1109/WCNC.2019.8886119
DO - 10.1109/WCNC.2019.8886119
M3 - Conference contribution
AN - SCOPUS:85074761992
T3 - IEEE Wireless Communications and Networking Conference, WCNC
BT - 2019 IEEE Wireless Communications and Networking Conference, WCNC 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 IEEE Wireless Communications and Networking Conference, WCNC 2019
Y2 - 15 April 2019 through 19 April 2019
ER -