フォロー
Yuichi Kawamoto
Yuichi Kawamoto
Tohoku University
確認したメール アドレス: ieee.org
タイトル
引用先
引用先
Future intelligent and secure vehicular network toward 6G: Machine-learning approaches
F Tang, Y Kawamoto, N Kato, J Liu
Proceedings of the IEEE 108 (2), 292-307, 2019
5282019
A survey on network methodologies for real-time analytics of massive IoT data and open research issues
S Verma, Y Kawamoto, ZM Fadlullah, H Nishiyama, N Kato
IEEE Communications Surveys & Tutorials 19 (3), 1457-1477, 2017
4322017
Ten challenges in advancing machine learning technologies toward 6G
N Kato, B Mao, F Tang, Y Kawamoto, J Liu
IEEE Wireless Communications 27 (3), 96-103, 2020
3452020
Device-to-device communications achieve efficient load balancing in LTE-advanced networks
J Liu, Y Kawamoto, H Nishiyama, N Kato, N Kadowaki
IEEE Wireless Communications 21 (2), 57-65, 2014
2602014
AI-based joint optimization of QoS and security for 6G energy harvesting Internet of Things
B Mao, Y Kawamoto, N Kato
IEEE Internet of Things Journal 7 (8), 7032-7042, 2020
1692020
AI models for green communications towards 6G
B Mao, F Tang, Y Kawamoto, N Kato
IEEE Communications Surveys & Tutorials 24 (1), 210-247, 2021
1422021
Intelligent reflecting surface placement optimization in air-ground communication networks toward 6G
H Hashida, Y Kawamoto, N Kato
IEEE Wireless Communications 27 (6), 146-151, 2020
1392020
Survey on machine learning for intelligent end-to-end communication toward 6G: From network access, routing to traffic control and streaming adaption
F Tang, B Mao, Y Kawamoto, N Kato
IEEE Communications Surveys & Tutorials 23 (3), 1578-1598, 2021
1252021
Optimizing computation offloading in satellite-UAV-served 6G IoT: A deep learning approach
B Mao, F Tang, Y Kawamoto, N Kato
Ieee Network 35 (4), 102-108, 2021
1192021
Effective data collection via satellite-routed sensor system (SRSS) to realize global-scaled Internet of Things
Y Kawamoto, H Nishiyama, ZM Fadlullah, N Kato
IEEE Sensors Journal 13 (10), 3645-3654, 2013
932013
A traffic distribution technique to minimize packet delivery delay in multilayered satellite networks
Y Kawamoto, H Nishiyama, N Kato, N Kadowaki
IEEE Transactions on Vehicular Technology 62 (7), 3315-3324, 2013
802013
A feedback control-based crowd dynamics management in IoT system
Y Kawamoto, N Yamada, H Nishiyama, N Kato, Y Shimizu, Y Zheng
IEEE Internet of Things Journal 4 (5), 1466-1476, 2017
772017
Internet of things (IoT): Present state and future prospects
Y Kawamoto, H Nishiyama, N Kato, N Yoshimura, S Yamamoto
IEICE TRANSACTIONS on Information and Systems 97 (10), 2568-2575, 2014
712014
Virtual cell based resource allocation for efficient frequency utilization in unmanned aircraft systems
D Takaishi, Y Kawamoto, H Nishiyama, N Kato, F Ono, R Miura
IEEE Transactions on Vehicular Technology 67 (4), 3495-3504, 2017
632017
Reinforcement learning-based radio resource control in 5G vehicular network
Y Zhou, F Tang, Y Kawamoto, N Kato
IEEE Wireless Communications Letters 9 (5), 611-614, 2019
592019
Toward future unmanned aerial vehicle networks: Architecture, resource allocation and field experiments
Y Kawamoto, H Nishiyama, N Kato, F Ono, R Miura
IEEE Wireless Communications 26 (1), 94-99, 2018
552018
Intelligent reflecting surface-aided vehicular networks toward 6G: Vision, proposal, and future directions
Y Zhu, B Mao, Y Kawamoto, N Kato
IEEE Vehicular Technology Magazine 16 (4), 48-56, 2021
542021
Efficient resource allocation utilizing Q-learning in multiple UA communications
Y Kawamoto, H Takagi, H Nishiyama, N Kato
IEEE Transactions on Network Science and Engineering 6 (3), 293-302, 2018
522018
Effectively collecting data for the location-based authentication in Internet of Things
Y Kawamoto, H Nishiyama, N Kato, Y Shimizu, A Takahara, T Jiang
IEEE Systems Journal 11 (3), 1403-1411, 2015
512015
Prospects and challenges of context-aware multimedia content delivery in cooperative satellite and terrestrial networks
Y Kawamoto, ZM Fadlullah, H Nishiyama, N Kato, M Toyoshima
IEEE Communications Magazine 52 (6), 55-61, 2014
502014
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