Thi Ha Ly Dinh

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 16

Top Topics

Resource Allocation

Reinforcement Learning

Energy Efficiency

Top Venues

Publications

Thanh Trung Nguyen, Minh Hai Vu, Thi Ha Ly Dinh, Phi Le Nguyen, Kien Nguyen
MuLeS: A Multi-Client Learning-Based MPQUIC Scheduler. CCNC (2024)
Megumi Kaneko, Thi Ha Ly Dinh, Kenichi Kawamura, Takatsune Moriyama, Yasushi Takatori
Wireless Multi-Interface Connectivity with Deep Learning-Enabled User Devices: An Energy Efficiency Perspective. IEEE Netw. 37 (3) (2023)
Nam Duong Tran, Manh Cuong Dao, Thanh Hung Nguyen, Thi Ha Ly Dinh, Kien Nguyen, Phi Le Nguyen
A Deep Reinforcement Learning-Based Multi-objective Optimization for Crowdsensing-Based Air Quality Monitoring Systems. ACIIDS (Companion) (2023)
Giang Nguyen, Thi Ha Ly Dinh, Thanh Hung Nguyen, Kien Nguyen, Phi Le Nguyen
A Data-Driven Scheduling Strategy for Mobile Air Quality Monitoring Devices. ACIIDS (2) (2023)
Thi Ha Ly Dinh, Megumi Kaneko, Kaito Fujii
Device Selection and Beamforming Optimization in Large-Scale mmWave IoT Networks. IEEE Internet Things J. 9 (24) (2022)
Thi Ha Ly Dinh, Megumi Kaneko, Kenichi Kawamura, Takatsune Moriyama, Yasushi Takatori
Improving Reliability by Risk-Averse Reinforcement Learning over Sub6GHz/mmWave Integrated Networks. ICC (2022)
Thi Ha Ly Dinh, Megumi Kaneko, Keisuke Wakao, Kenichi Kawamura, Takatsune Moriyama, Hirantha Abeysekera, Yasushi Takatori
Deep Reinforcement Learning-based User Association in Sub6GHz/mmWave Integrated Networks. CCNC (2021)
Thi Ha Ly Dinh, Megumi Kaneko, Keisuke Wakao, Kenichi Kawamura, Takatsune Moriyama, Yasushi Takatori
Towards an Energy-Efficient DQN-based User Association in Sub6GHz/mmWave Integrated Networks. MSN (2021)
Thi Ha Ly Dinh, Megumi Kaneko, Keisuke Wakao, Kenichi Kawamura, Takatsune Moriyama, Hirantha Abeysekera, Yasushi Takatori
Distributed user-to-multiple access points association through deep learning for beyond 5G. Comput. Networks 197 (2021)
Thi Ha Ly Dinh, Megumi Kaneko, Ellen Hidemi Fukuda, Lila Boukhatem
Energy Efficient Resource Allocation Optimization in Fog Radio Access Networks With Outdated Channel Knowledge. IEEE Trans. Green Commun. Netw. 5 (1) (2021)
Thi Ha Ly Dinh, Megumi Kaneko, Ellen Hidemi Fukuda, Lila Boukhatem
Energy Efficient Resource Allocation Optimization in Fog Radio Access Networks with Outdated Channel Knowledge. CoRR (2020)
Thi Ha Ly Dinh, Megumi Kaneko, Lila Boukhatem
Energy-Efficient User Association and Beamforming for 5G Fog Radio Access Networks. CCNC (2019)
Megumi Kaneko, Lila Boukhatem, Nicolas Pontois, Thi Ha Ly Dinh
User Pre-Scheduling and Beamforming with Imperfect CSI for Future Cloud/Fog-Radio Access Networks. IEICE Trans. Commun. (7) (2019)
Thi Ha Ly Dinh, Megumi Kaneko, Keisuke Wakao, Hirantha Abeysekera, Yasushi Takatori
Reinforcement Learning-Aided Distributed User-to-Access Points Association in Interfering Networks. GLOBECOM (2019)
Nicolas Pontois, Megumi Kaneko, Thi Ha Ly Dinh, Lila Boukhatem
User Pre-Scheduling and Beamforming with Imperfect CSI in 5G Fog Radio Access Networks. CoRR (2018)
Nicolas Pontois, Megumi Kaneko, Thi Ha Ly Dinh, Lila Boukhatem
User Pre-Scheduling and Beamforming with Outdated CSI in 5G Fog Radio Access Networks. GLOBECOM (2018)