Tiago Koketsu Rodrigues

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Education

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Publications (21)

• Exploiting Radio Frequency Characteristics With a Support Unmanned Aerial Vehicle to Improve Wireless Sensor Location Estimation Accuracy
  IEEE Internet of Things Journal 2024 DOI: 10.1109/jiot.2024.3448394
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• Smart Handover with Predicted User Behavior using Convolutional Neural Networks for WiGig Systems
  Tiago Koketsu Rodrigues, Shikhar Verma, Yuichi Kawamoto

  +3 more

  • Nei Kato
  • Mostafa M. Fouda
  • Muhammad Ismail
  IEEE Network 2024 DOI: 10.1109/mnet.2024.3353301
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• A Survey On Multi-AP Coordination Approaches Over Emerging WLANs: Future Directions and Open Challenges
  Shikhar Verma, Tiago Koketsu Rodrigues, Yuichi Kawamoto

  +2 more

  • Mostafa M. Fouda
  • Nei Kato
  IEEE Communications Surveys and Tutorials 2023 DOI: 10.1109/comst.2023.3344167
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• Impact of UAV Failure and Severe Weather Conditions in mmWave and Terahertz Signals for AeriaL Edge Computing
  2023 IEEE 98th Vehicular Technology Conference (VTC2023-Fall) 2023 DOI: 10.1109/vtc2023-fall60731.2023.10333847
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• Robust Deep Learning-based Indoor mmWave Channel Prediction Under Concept Drift
  2023 IEEE 98th Vehicular Technology Conference (VTC2023-Fall) 2023 DOI: 10.1109/vtc2023-fall60731.2023.10333513
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• Robust Multi-User Beamforming for IRS-Enhanced Near-Space Downlink Communications Coexisting With Satellite System
  IEEE Internet of Things Journal 2021 DOI: 10.1109/jiot.2021.3112595
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• Deep Learning Techniques for Advancing 6G Communications in the Physical Layer
  IEEE Wireless Communications 2021 DOI: 10.1109/mwc.001.2000516
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• Application of Cybertwin for Offloading in Mobile Multi-access Edge Computing for 6G Networks
  IEEE Internet of Things Journal 2021 DOI: 10.1109/jiot.2021.3095308
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• Offloading Decision for Mobile Multi-Access Edge Computing in a Multi-Tiered 6G Network
  IEEE Transactions on Emerging Topics in Computing 2021 DOI: 10.1109/tetc.2021.3090061
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• Envisioning Intelligent Reflecting Surface Empowered Space-Air-Ground Integrated Network
  IEEE Network 2021 DOI: 10.1109/mnet.011.2100007
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• Machine Learning Meets Computation and Communication Control in Evolving Edge and Cloud: Challenges and Future Perspective
  IEEE Communications Surveys and Tutorials 2020 DOI: 10.1109/COMST.2019.2943405
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• Prediction of Network Traffic Load on High Variability Data Based on Distance Correlation
  IEEE Vehicular Technology Conference 2020 DOI: 10.1109/VTC2020-Fall49728.2020.9348769
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• An internet of things traffic-based power saving scheme in cloud-radio access network
  IEEE Internet of Things Journal 2019 DOI: 10.1109/JIOT.2018.2878884
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• Edge Cloud Server Deployment with Transmission Power Control through Machine Learning for 6G Internet of Things
  IEEE Transactions on Emerging Topics in Computing 2019 DOI: 10.1109/TETC.2019.2963091
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• Hyperparameter study of machine learning solutions for the edge server deployment problem
  IEEE Vehicular Technology Conference 2019 DOI: 10.1109/VTCFall.2019.8891500
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• A Probabilistic Approach to Deploying Disaster Response Network
  IEEE Transactions on Vehicular Technology 2018 DOI: 10.1109/TVT.2018.2872542
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• Cloudlets Activation Scheme for Scalable Mobile Edge Computing with Transmission Power Control and Virtual Machine Migration
  IEEE Transactions on Computers 2018 DOI: 10.1109/TC.2018.2818144
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• A PSO model with VM migration and transmission power control for low Service Delay in the multiple cloudlets ECC scenario
  IEEE International Conference on Communications 2017 DOI: 10.1109/ICC.2017.7996358
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• Hybrid Method for Minimizing Service Delay in Edge Cloud Computing Through VM Migration and Transmission Power Control
  IEEE Transactions on Computers 2017 DOI: 10.1109/TC.2016.2620469
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• QoE-guaranteed and sustainable user position guidance for post-disaster cloud radio access network
  2016 IEEE Global Communications Conference, GLOBECOM 2016 - Proceedings 2016 DOI: 10.1109/GLOCOM.2016.7842184
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