Thi Ha Ly Dinh

20 papers B 2Journal 10Unranked 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
Evaluating MPQUIC schedulers in dynamic wireless networks with 2D and 3D mobility.
Comput. Networks
Minh Hai Vu, Thanh Trung Nguyen, Thi Ha Ly Dinh, Thanh-Hung Nguyen, Phi Le Nguyen, Kien Nguyen, Hiroo Sekiya
2024 J jnl
A Multi-Agent Risk-Averse Reinforcement Learning Method for Reliability Enhancement in Sub-6GHz/mmWave Mobile Networks.
IEEE Wirel. Commun. Lett.
Megumi Kaneko, Thi Ha Ly Dinh, Yousef N. Shnaiwer, Kenichi Kawamura, Daisuke Murayama, Yasushi Takatori
2024 J jnl
FQ-SAT: A fuzzy Q-learning-based MPQUIC scheduler for data transmission optimization.
Comput. Commun.
Thanh Trung Nguyen, Minh Hai Vu, Thi Ha Ly Dinh, Thanh Hung Nguyen, Phi Le Nguyen, Kien Nguyen
2024 — conf
LoGra: an LSTM-DDPG Integrated MPQUIC Scheduler for Mobile Video Streaming.
VTC Fall
Minh Hai Vu, Thanh Trung Nguyen, Thi Ha Ly Dinh, Phi Le Nguyen, Kien Nguyen
2024 — conf
MuLeS: A Multi-Client Learning-Based MPQUIC Scheduler.
CCNC
Thanh Trung Nguyen, Minh Hai Vu, Thi Ha Ly Dinh, Phi Le Nguyen, Kien Nguyen
2023 — conf
A Data-Driven Scheduling Strategy for Mobile Air Quality Monitoring Devices.
ACIIDS (2)
Giang Nguyen, Thi Ha Ly Dinh, Thanh Hung Nguyen, Kien Nguyen, Phi Le Nguyen
2023 — conf
A Deep Reinforcement Learning-Based Multi-objective Optimization for Crowdsensing-Based Air Quality Monitoring Systems.
ACIIDS (Companion)
Nam Duong Tran, Manh Cuong Dao, Thanh Hung Nguyen, Thi Ha Ly Dinh, Kien Nguyen, Phi Le Nguyen
2023 J jnl
Wireless Multi-Interface Connectivity with Deep Learning-Enabled User Devices: An Energy Efficiency Perspective.
IEEE Netw.
Megumi Kaneko, Thi Ha Ly Dinh, Kenichi Kawamura, Takatsune Moriyama, Yasushi Takatori
2022 J jnl
Device Selection and Beamforming Optimization in Large-Scale mmWave IoT Networks.
IEEE Internet Things J.
Thi Ha Ly Dinh, Megumi Kaneko, Kaito Fujii
2022 — conf
Improving Reliability by Risk-Averse Reinforcement Learning over Sub6GHz/mmWave Integrated Networks.
ICC
Thi Ha Ly Dinh, Megumi Kaneko, Kenichi Kawamura, Takatsune Moriyama, Yasushi Takatori
2021 — conf
Deep Reinforcement Learning-based User Association in Sub6GHz/mmWave Integrated Networks.
CCNC
Thi Ha Ly Dinh, Megumi Kaneko, Keisuke Wakao, Kenichi Kawamura, Takatsune Moriyama, Hirantha Abeysekera, Yasushi Takatori
2021 J jnl
Distributed user-to-multiple access points association through deep learning for beyond 5G.
Comput. Networks
Thi Ha Ly Dinh, Megumi Kaneko, Keisuke Wakao, Kenichi Kawamura, Takatsune Moriyama, Hirantha Abeysekera, Yasushi Takatori
2021 J jnl
Energy Efficient Resource Allocation Optimization in Fog Radio Access Networks With Outdated Channel Knowledge.
IEEE Trans. Green Commun. Netw.
Thi Ha Ly Dinh, Megumi Kaneko, Ellen Hidemi Fukuda, Lila Boukhatem
2021 — conf
Towards an Energy-Efficient DQN-based User Association in Sub6GHz/mmWave Integrated Networks.
MSN
Thi Ha Ly Dinh, Megumi Kaneko, Keisuke Wakao, Kenichi Kawamura, Takatsune Moriyama, Yasushi Takatori
2020 J jnl
Energy Efficient Resource Allocation Optimization in Fog Radio Access Networks with Outdated Channel Knowledge.
CoRR
Thi Ha Ly Dinh, Megumi Kaneko, Ellen Hidemi Fukuda, Lila Boukhatem
2019 — conf
Energy-Efficient User Association and Beamforming for 5G Fog Radio Access Networks.
CCNC
Thi Ha Ly Dinh, Megumi Kaneko, Lila Boukhatem
2019 B conf
Reinforcement Learning-Aided Distributed User-to-Access Points Association in Interfering Networks.
GLOBECOM
Thi Ha Ly Dinh, Megumi Kaneko, Keisuke Wakao, Hirantha Abeysekera, Yasushi Takatori
2019 J jnl
User Pre-Scheduling and Beamforming with Imperfect CSI for Future Cloud/Fog-Radio Access Networks.
IEICE Trans. Commun.
Megumi Kaneko, Lila Boukhatem, Nicolas Pontois, Thi Ha Ly Dinh
2018 J jnl
User Pre-Scheduling and Beamforming with Imperfect CSI in 5G Fog Radio Access Networks.
CoRR
Nicolas Pontois, Megumi Kaneko, Thi Ha Ly Dinh, Lila Boukhatem
2018 B conf
User Pre-Scheduling and Beamforming with Outdated CSI in 5G Fog Radio Access Networks.
GLOBECOM
Nicolas Pontois, Megumi Kaneko, Thi Ha Ly Dinh, Lila Boukhatem