Hybrid method for minimizing service delay in edge cloud computing through VM migration and transmission power control TG Rodrigues, K Suto, H Nishiyama, N Kato IEEE Transactions on Computers 66 (5), 810-819, 2016 | 360 | 2016 |
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 | 176 | 2019 |
Cloudlets activation scheme for scalable mobile edge computing with transmission power control and virtual machine migration TG Rodrigues, K Suto, H Nishiyama, N Kato, K Temma IEEE Transactions on Computers 67 (9), 1287-1300, 2018 | 176 | 2018 |
Edge cloud server deployment with transmission power control through machine learning for 6G Internet of Things TK Rodrigues, K Suto, N Kato IEEE Transactions on Emerging Topics in Computing 9 (4), 2099-2108, 2019 | 67 | 2019 |
Offloading Decision for Mobile Multi-Access Edge Computing in a Multi-Tiered 6G Network TK Rodrigues, J Liu, N Kato IEEE Transactions on Emerging Topics in Computing, 2021 | 36 | 2021 |
Application of cybertwin for offloading in mobile multiaccess edge computing for 6G networks TK Rodrigues, J Liu, N Kato IEEE Internet of Things Journal 8 (22), 16231-16242, 2021 | 30 | 2021 |
An Internet of Things traffic-based power saving scheme in cloud-radio access network K Miyanabe, TG Rodrigues, Y Lee, H Nishiyama, N Kato IEEE Internet of Things Journal 6 (2), 3087-3096, 2018 | 27 | 2018 |
A pso model with vm migration and transmission power control for low service delay in the multiple cloudlets ecc scenario TG Rodrigues, K Suto, H Nishiyama, N Kato 2017 IEEE International Conference on Communications (ICC), 1-6, 2017 | 26 | 2017 |
Survey on digital twin edge networks (DITEN) toward 6G F Tang, X Chen, TK Rodrigues, M Zhao, N Kato IEEE Open Journal of the Communications Society 3, 1360-1381, 2022 | 18 | 2022 |
Network slicing with centralized and distributed reinforcement learning for combined satellite/ground networks in a 6G environment TK Rodrigues, N Kato IEEE Wireless Communications 29 (1), 104-110, 2022 | 13 | 2022 |
Envisioning intelligent reflecting surface empowered space-air-ground integrated network S Xu, J Liu, TK Rodrigues, N Kato IEEE Network 35 (6), 225-232, 2021 | 13 | 2021 |
Deep learning techniques for advancing 6G communications in the physical layer S Zhang, J Liu, TK Rodrigues, N Kato IEEE Wireless Communications 28 (5), 141-147, 2021 | 12 | 2021 |
Towards a low-delay edge cloud computing through a combined communication and computation approach TG Rodrigues, K Suto, H Nishiyama, N Kato, K Mizutani, T Inoue, ... 2016 IEEE 84th Vehicular Technology Conference (VTC-Fall), 1-5, 2016 | 12 | 2016 |
Robust Multiuser Beamforming for IRS-Enhanced Near-Space Downlink Communications Coexisting With Satellite System S Xu, J Liu, TK Rodrigues, N Kato IEEE Internet of Things Journal 9 (16), 14900-14912, 2021 | 10 | 2021 |
A probabilistic approach to deploying disaster response network H Nishiyama, TG Rodrigues, J Liu IEEE Transactions on Vehicular Technology 67 (12), 12086-12094, 2018 | 6 | 2018 |
Five Disruptive Technologies in 6G to Support Digital Twin Networks Q Guo, F Tang, TK Rodrigues, N Kato IEEE Wireless Communications, 2023 | 5 | 2023 |
QoE-guaranteed and sustainable user position guidance for post-disaster cloud radio access network K Suto, TG Rodrigues, H Nishiyama, N Kato, H Ujikawa, KI Suzuki 2016 IEEE Global Communications Conference (GLOBECOM), 1-6, 2016 | 3 | 2016 |
Deep Q Networks with Centralized Learning over LEO Satellite Networks in a 6G Cloud Environment TK Rodrigues, N Kato GLOBECOM 2022-2022 IEEE Global Communications Conference, 5905-5910, 2022 | 2 | 2022 |
Hybrid Centralized and Distributed Learning for MEC-Equipped Satellite 6G Networks TK Rodrigues, N Kato IEEE Journal on Selected Areas in Communications 41 (4), 1201-1211, 2023 | 1 | 2023 |
Prediction of Network Traffic Load on High Variability Data Based on Distance Correlation LPY Ting, TK Rodrigues, N Kato, KT Chuang 2020 IEEE 92nd Vehicular Technology Conference (VTC2020-Fall), 1-5, 2020 | 1 | 2020 |