TY - GEN
T1 - Optimizing mmWave Beamforming for High-Speed Connected Autonomous Vehicles
T2 - 21st IEEE Consumer Communications and Networking Conference, CCNC 2024
AU - Iwaki, Ryo
AU - Nakazato, Jin
AU - Muhammad, Asad
AU - Javanmardi, Ehsan
AU - Maruta, Kazuki
AU - Tsukada, Manabu
AU - Ochiai, Hideya
AU - Esaki, Hiroshi
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - The commercialization of 5G has been initiated for a while. Furthermore, millimeter wave (mmWave) has been introduced to small cells with small coverage due to its strong linearity and non-winding characteristics. On the other hand, in connected autonomous vehicles (CAV s), where various traffic systems can cooperatively perform recognition, decision-making, and execution, communication is assumed to be always connected. Therefore, to use low latency mm Wave for high-speed moving CAV, existing beamforming cannot follow them at high speed. This paper proposes an improved beam tracking algorithm for high-speed CAVs, which can be evaluated in a more general environment using a traffic simulator. We proposed an adaptive algorithm for a general road environment by increasing the number of beam searches and search dimensions.
AB - The commercialization of 5G has been initiated for a while. Furthermore, millimeter wave (mmWave) has been introduced to small cells with small coverage due to its strong linearity and non-winding characteristics. On the other hand, in connected autonomous vehicles (CAV s), where various traffic systems can cooperatively perform recognition, decision-making, and execution, communication is assumed to be always connected. Therefore, to use low latency mm Wave for high-speed moving CAV, existing beamforming cannot follow them at high speed. This paper proposes an improved beam tracking algorithm for high-speed CAVs, which can be evaluated in a more general environment using a traffic simulator. We proposed an adaptive algorithm for a general road environment by increasing the number of beam searches and search dimensions.
KW - Connected autonomous vehicle
KW - Fast beam tracking
KW - Millimeter wave
KW - V2X
UR - https://www.scopus.com/pages/publications/85189203709
U2 - 10.1109/CCNC51664.2024.10454766
DO - 10.1109/CCNC51664.2024.10454766
M3 - Conference proceedings published in a book
AN - SCOPUS:85189203709
T3 - Proceedings - IEEE Consumer Communications and Networking Conference, CCNC
SP - 1088
EP - 1089
BT - 2024 IEEE 21st Consumer Communications and Networking Conference, CCNC 2024
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 6 January 2024 through 9 January 2024
ER -