Device-to-device communication in LTE-advanced networks: A survey J Liu, N Kato, J Ma, N Kadowaki IEEE Communications Surveys & Tutorials 17 (4), 1923-1940, 2014 | 687 | 2014 |
Space-air-ground integrated network: A survey J Liu, Y Shi, ZM Fadlullah, N Kato IEEE Communications Surveys & Tutorials 20 (4), 2714-2741, 2018 | 642 | 2018 |
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 | 405 | 2019 |
Networking and communications in autonomous driving: A survey J Wang, J Liu, N Kato IEEE Communications Surveys & Tutorials 21 (2), 1243-1274, 2018 | 327 | 2018 |
Collaborative computation offloading for multiaccess edge computing over fiber–wireless networks H Guo, J Liu IEEE Transactions on Vehicular Technology 67 (5), 4514-4526, 2018 | 317 | 2018 |
Smart resource allocation for mobile edge computing: A deep reinforcement learning approach J Wang, L Zhao, J Liu, N Kato IEEE Transactions on emerging topics in computing 9 (3), 1529-1541, 2019 | 276 | 2019 |
Optimizing space-air-ground integrated networks by artificial intelligence N Kato, ZM Fadlullah, F Tang, B Mao, S Tani, A Okamura, J Liu IEEE Wireless Communications 26 (4), 140-147, 2019 | 268 | 2019 |
Mobile-edge computation offloading for ultradense IoT networks H Guo, J Liu, J Zhang, W Sun, N Kato IEEE Internet of Things Journal 5 (6), 4977-4988, 2018 | 260 | 2018 |
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 | 246 | 2014 |
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 | 241 | 2020 |
Task offloading in vehicular edge computing networks: A load-balancing solution J Zhang, H Guo, J Liu, Y Zhang IEEE Transactions on Vehicular Technology 69 (2), 2092-2104, 2019 | 209 | 2019 |
Connecting intelligent things in smart hospitals using NB-IoT H Zhang, J Li, B Wen, Y Xun, J Liu IEEE Internet of Things Journal 5 (3), 1550-1560, 2018 | 202 | 2018 |
On the outage probability of device-to-device-communication-enabled multichannel cellular networks: An RSS-threshold-based perspective J Liu, H Nishiyama, N Kato, J Guo IEEE Journal on Selected Areas in Communications 34 (1), 163-175, 2015 | 200 | 2015 |
Device-to-device communications for enhancing quality of experience in software defined multi-tier LTE-A networks J Liu, S Zhang, N Kato, H Ujikawa, K Suzuki IEEE Network 29 (4), 46-52, 2015 | 196 | 2015 |
UAV-enhanced intelligent offloading for Internet of Things at the edge H Guo, J Liu IEEE Transactions on Industrial Informatics 16 (4), 2737-2746, 2019 | 192 | 2019 |
In-vehicle network attacks and countermeasures: Challenges and future directions J Liu, S Zhang, W Sun, Y Shi IEEE Network 31 (5), 50-58, 2017 | 176 | 2017 |
Double auction-based resource allocation for mobile edge computing in industrial internet of things W Sun, J Liu, Y Yue, H Zhang IEEE Transactions on Industrial Informatics 14 (10), 4692-4701, 2018 | 172 | 2018 |
Machine learning meets computation and communication control in evolving edge and cloud: Challenges and future perspective TK Rodrigues, K Suto, H Nishiyama, J Liu, N Kato IEEE Communications Surveys & Tutorials 22 (1), 38-67, 2019 | 170 | 2019 |
Envisioning device-to-device communications in 6G S Zhang, J Liu, H Guo, M Qi, N Kato IEEE Network 34 (3), 86-91, 2020 | 160 | 2020 |
AI-enhanced offloading in edge computing: When machine learning meets industrial IoT W Sun, J Liu, Y Yue IEEE Network 33 (5), 68-74, 2019 | 141 | 2019 |