TY - JOUR
T1 - Intelligent Reflecting Surface-Aided Vehicular Networks Toward 6G
T2 - Vision, Proposal, and Future Directions
AU - Zhu, Yishi
AU - Mao, Bomin
AU - Kawamoto, Yuichi
AU - Kato, Nei
N1 - Publisher Copyright:
© 2005-2012 IEEE.
PY - 2021/12/1
Y1 - 2021/12/1
N2 - As one of the typical applications in the 6G mobile network, autonomous driving will significantly benefit from the extremely high network throughput and capacity, and an increasing number of computation-aggressive tasks will be generated by vehicles and offloaded to edge and cloud servers. Since many tasks generated by vehicles are delay sensitive, it is of great importance to ensure the transmission rate and stability. However, signals transmitted with high-frequency bands, even the terahertz, in 6G are seriously affected by physical obstacles, while the vehicle mobility can cause the dynamic channel conditions.
AB - As one of the typical applications in the 6G mobile network, autonomous driving will significantly benefit from the extremely high network throughput and capacity, and an increasing number of computation-aggressive tasks will be generated by vehicles and offloaded to edge and cloud servers. Since many tasks generated by vehicles are delay sensitive, it is of great importance to ensure the transmission rate and stability. However, signals transmitted with high-frequency bands, even the terahertz, in 6G are seriously affected by physical obstacles, while the vehicle mobility can cause the dynamic channel conditions.
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U2 - 10.1109/MVT.2021.3113890
DO - 10.1109/MVT.2021.3113890
M3 - Article
AN - SCOPUS:85117076597
SN - 1556-6072
VL - 16
SP - 48
EP - 56
JO - IEEE Vehicular Technology Magazine
JF - IEEE Vehicular Technology Magazine
IS - 4
ER -