Tiago Koketsu Rodrigues

Orcid: 0000-0003-0881-3818

Affiliations:
  • Tohoku University, Sendai, Miyagi, Japan


According to our database1, Tiago Koketsu Rodrigues authored at least 39 papers between 2019 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Latency-Aware Task Offloading in Multi-Tier SAGIN With FSO-Enabled Mobile Edge Computing.
IEEE Trans. Veh. Technol., June, 2026

Deep Reinforcement Learning for Interference Suppression in RIS-Aided Space-Air-Ground Integrated Networks.
CoRR, February, 2026

Multi Layer Jamming Detection and Classification in 6G-Enabled Satellite-Air-Ground Integrated Networks Using Machine Learning.
IEEE Trans. Netw. Sci. Eng., 2026

Breakout Local Search for Load-Balanced Federated Learning in Multi-BS Networks.
IEEE Trans. Emerg. Top. Comput., 2026

TouchAI: Toward Waterproof Mobile Touchscreen Interface via Acoustic-Inertial Sensing Modalities.
IEEE Internet Things J., 2026

DFCA: Decentralized Federated Clustering Algorithm.
IEEE Internet Things J., 2026

Pivotal AI Paradigms for Satellite Communication Security: From Machine Learning to Large Language Models.
IEEE Commun. Surv. Tutorials, 2026

2025
Multiview Spatiotemporal Dynamic Graph Convolution Network for Traffic Flow Prediction.
IEEE Internet Things J., September, 2025

Evaluating C/N and BER in FSO Vehicular-HAP-Satellite Links Under Rain and Cloud Scattering.
IEEE Wirel. Commun. Lett., July, 2025

Prediction-Based Link Selection With Machine Learning in HAP-Assisted FSO Networks.
IEEE Wirel. Commun. Lett., April, 2025

Breakout Local Search Solution to the Offloading Decision Problem in a Multi-Access Edge Computing Cloud-Enabled Network.
IEEE Trans. Emerg. Top. Comput., 2025

Empirical Analysis of Statistical Variation in Channel Data of WiGig Networks Towards 6G.
Proceedings of the 101st IEEE Vehicular Technology Conference, 2025

Ensemble Learning-Based Channel Prediction for Real-World Indoor 6G WiGig Networks.
Proceedings of the 102nd IEEE Vehicular Technology Conference, 2025

Mobile Edge Computing Offloading for Static Users in a Free Space Optical Communications-Enabled Satellite-Air-Ground Integrated Network.
Proceedings of the 102nd IEEE Vehicular Technology Conference, 2025

Mitigating Multi-Layer Jamming Attacks in Satellite-Air-Ground Integrated Networks.
Proceedings of the 2025 IEEE Global Communications Conference, 2025

Weather Attenuation Dataset Generation Method for Prediction-based Control of Non-Terrestrial High-Frequency Wireless Networks.
Proceedings of the IEEE VTS Asia Pacific Wireless Communications Symposium, 2025

2024
Challenges and Machine Learning Solutions for Optical Communications in Space-Air-Ground Integrated Networks for 6G.
IEEE Wirel. Commun., December, 2024

Exploiting Radio Frequency Characteristics With a Support Unmanned Aerial Vehicle to Improve Wireless Sensor Location Estimation Accuracy.
IEEE Internet Things J., December, 2024

Smart Handover With Predicted User Behavior Using Convolutional Neural Networks for WiGig Systems.
IEEE Netw., July, 2024

Five Disruptive Technologies in 6G to Support Digital Twin Networks.
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
Hybrid Centralized and Distributed Learning for MEC-Equipped Satellite 6G Networks.
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

Robust Deep Learning-based Indoor mmWave Channel Prediction Under Concept Drift.
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

Survey on Digital Twin Edge Networks (DITEN) Toward 6G.
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
Deep Learning Techniques for Advancing 6G Communications in the Physical Layer.
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


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