Thi Ha Ly Dinh

Orcid: 0000-0001-9986-800X

According to our database1, Thi Ha Ly Dinh authored at least 17 papers between 2018 and 2024.

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

2024
A Multi-Agent Risk-Averse Reinforcement Learning Method for Reliability Enhancement in Sub-6GHz/mmWave Mobile Networks.
IEEE Wirel. Commun. Lett., October, 2024

LoGra: an LSTM-DDPG Integrated MPQUIC Scheduler for Mobile Video Streaming.
Proceedings of the 100th IEEE Vehicular Technology Conference, 2024

MuLeS: A Multi-Client Learning-Based MPQUIC Scheduler.
Proceedings of the 21st IEEE Consumer Communications & Networking Conference, 2024

2023
Wireless Multi-Interface Connectivity with Deep Learning-Enabled User Devices: An Energy Efficiency Perspective.
IEEE Netw., 2023

A Deep Reinforcement Learning-Based Multi-objective Optimization for Crowdsensing-Based Air Quality Monitoring Systems.
Proceedings of the Recent Challenges in Intelligent Information and Database Systems, 2023

A Data-Driven Scheduling Strategy for Mobile Air Quality Monitoring Devices.
Proceedings of the Intelligent Information and Database Systems - 15th Asian Conference, 2023

2022
Device Selection and Beamforming Optimization in Large-Scale mmWave IoT Networks.
IEEE Internet Things J., 2022

Improving Reliability by Risk-Averse Reinforcement Learning over Sub6GHz/mmWave Integrated Networks.
Proceedings of the IEEE International Conference on Communications, 2022

2021
Energy Efficient Resource Allocation Optimization in Fog Radio Access Networks With Outdated Channel Knowledge.
IEEE Trans. Green Commun. Netw., 2021

Distributed user-to-multiple access points association through deep learning for beyond 5G.
Comput. Networks, 2021

Towards an Energy-Efficient DQN-based User Association in Sub6GHz/mmWave Integrated Networks.
Proceedings of the 17th International Conference on Mobility, Sensing and Networking, 2021

Deep Reinforcement Learning-based User Association in Sub6GHz/mmWave Integrated Networks.
Proceedings of the 18th IEEE Annual Consumer Communications & Networking Conference, 2021

2019
User Pre-Scheduling and Beamforming with Imperfect CSI for Future Cloud/Fog-Radio Access Networks.
IEICE Trans. Commun., 2019

Reinforcement Learning-Aided Distributed User-to-Access Points Association in Interfering Networks.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

Energy-Efficient User Association and Beamforming for 5G Fog Radio Access Networks.
Proceedings of the 16th IEEE Annual Consumer Communications & Networking Conference, 2019

2018
User Pre-Scheduling and Beamforming with Imperfect CSI in 5G Fog Radio Access Networks.
CoRR, 2018

User Pre-Scheduling and Beamforming with Outdated CSI in 5G Fog Radio Access Networks.
Proceedings of the IEEE Global Communications Conference, 2018


  Loading...