Tiago Koketsu Rodrigues
Orcid: 0000-0003-0881-3818Affiliations:
- Tohoku University, Sendai, Miyagi, Japan
According to our database1,
Tiago Koketsu Rodrigues
authored at least 21 papers
between 2019 and 2024.
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Bibliography
2024
Smart Handover With Predicted User Behavior Using Convolutional Neural Networks for WiGig Systems.
IEEE Netw., July, 2024
IEEE Wirel. Commun., February, 2024
A Survey on Multi-AP Coordination Approaches Over Emerging WLANs: Future Directions and Open Challenges.
IEEE Commun. Surv. Tutorials, 2024
2023
IEEE J. Sel. Areas Commun., April, 2023
Quantum Multiagent Actor-Critic Networks for Cooperative Mobile Access in Multi-UAV Systems.
IEEE Internet Things J., 2023
A Survey on Multi-AP Coordination Approaches over Emerging WLANs: Future Directions and Open Challenges.
CoRR, 2023
Quantum Multi-Agent Actor-Critic Networks for Cooperative Mobile Access in Multi-UAV Systems.
CoRR, 2023
Impact of UAV Failure and Severe Weather Conditions in mmWave and Terahertz Signals for AeriaL Edge Computing.
Proceedings of the 98th IEEE Vehicular Technology Conference, 2023
Proceedings of the 98th IEEE Vehicular Technology Conference, 2023
2022
Network Slicing with Centralized and Distributed Reinforcement Learning for Combined Satellite/Ground Networks in a 6G Environment.
IEEE Wirel. Commun., 2022
Offloading Decision for Mobile Multi-Access Edge Computing in a Multi-Tiered 6G Network.
IEEE Trans. Emerg. Top. Comput., 2022
IEEE Open J. Commun. Soc., 2022
Robust Multiuser Beamforming for IRS-Enhanced Near-Space Downlink Communications Coexisting With Satellite System.
IEEE Internet Things J., 2022
Deep Q Networks with Centralized Learning over LEO Satellite Networks in a 6G Cloud Environment.
Proceedings of the IEEE Global Communications Conference, 2022
2021
IEEE Wirel. Commun., 2021
Edge Cloud Server Deployment With Transmission Power Control Through Machine Learning for 6G Internet of Things.
IEEE Trans. Emerg. Top. Comput., 2021
Envisioning Intelligent Reflecting Surface Empowered Space-Air-Ground Integrated Network.
IEEE Netw., 2021
Application of Cybertwin for Offloading in Mobile Multiaccess Edge Computing for 6G Networks.
IEEE Internet Things J., 2021
2020
Machine Learning Meets Computation and Communication Control in Evolving Edge and Cloud: Challenges and Future Perspective.
IEEE Commun. Surv. Tutorials, 2020
Prediction of Network Traffic Load on High Variability Data Based on Distance Correlation.
Proceedings of the 92nd IEEE Vehicular Technology Conference, 2020
2019
Hyperparameter Study of Machine Learning Solutions for the Edge Server Deployment Problem.
Proceedings of the 90th IEEE Vehicular Technology Conference, 2019