User Pre-Scheduling and Beamforming with Outdated CSI in 5G Fog Radio Access Networks. - Nicolas Pontois; Megumi Kaneko; Thi Ha Ly Dinh; Lila Boukhatem (GLOBECOM, 2018)

User Pre-Scheduling and Beamforming with Imperfect CSI in 5G Fog Radio Access Networks. - Nicolas Pontois; Megumi Kaneko; Thi Ha Ly Dinh; Lila Boukhatem (CoRR, 2018)

Energy-Efficient User Association and Beamforming for 5G Fog Radio Access Networks. - Thi Ha Ly Dinh; Megumi Kaneko; Lila Boukhatem (CCNC, 2019)

Reinforcement Learning-Aided Distributed User-to-Access Points Association in Interfering Networks. - Thi Ha Ly Dinh; Megumi Kaneko; Keisuke Wakao; Hirantha Abeysekera; Yasushi Takatori (GLOBECOM, 2019)

User Pre-Scheduling and Beamforming with Imperfect CSI for Future Cloud/Fog-Radio Access Networks. - Megumi Kaneko; Lila Boukhatem; Nicolas Pontois; Thi Ha Ly Dinh (IEICE Trans. Commun., 2019)

Deep Reinforcement Learning-based User Association in Sub6GHz/mmWave Integrated Networks. - Thi Ha Ly Dinh; Megumi Kaneko; Keisuke Wakao; Kenichi Kawamura; Takatsune Moriyama; Hirantha Abeysekera; Yasushi Takatori (CCNC, 2021)

Towards an Energy-Efficient DQN-based User Association in Sub6GHz/mmWave Integrated Networks. - Thi Ha Ly Dinh; Megumi Kaneko; Keisuke Wakao; Kenichi Kawamura; Takatsune Moriyama; Yasushi Takatori (MSN, 2021)

Distributed user-to-multiple access points association through deep learning for beyond 5G. - Thi Ha Ly Dinh; Megumi Kaneko; Keisuke Wakao; Kenichi Kawamura; Takatsune Moriyama; Hirantha Abeysekera; Yasushi Takatori (Comput. Networks, 2021)

Energy Efficient Resource Allocation Optimization in Fog Radio Access Networks With Outdated Channel Knowledge. - Thi Ha Ly Dinh; Megumi Kaneko; Ellen Hidemi Fukuda; Lila Boukhatem (IEEE Trans. Green Commun. Netw., 2021)

Improving Reliability by Risk-Averse Reinforcement Learning over Sub6GHz/mmWave Integrated Networks. - Thi Ha Ly Dinh; Megumi Kaneko; Kenichi Kawamura; Takatsune Moriyama; Yasushi Takatori (ICC, 2022)

Device Selection and Beamforming Optimization in Large-Scale mmWave IoT Networks. - Thi Ha Ly Dinh; Megumi Kaneko; Kaito Fujii (IEEE Internet Things J., 2022)

A Data-Driven Scheduling Strategy for Mobile Air Quality Monitoring Devices. - Giang Nguyen; Thi Ha Ly Dinh; Thanh Hung Nguyen; Kien Nguyen 002; Phi Le Nguyen (ACIIDS (2), 2023)

A Deep Reinforcement Learning-Based Multi-objective Optimization for Crowdsensing-Based Air Quality Monitoring Systems. - Nam Duong Tran; Manh Cuong Dao; Thanh Hung Nguyen; Thi Ha Ly Dinh; Kien Nguyen 002; Phi Le Nguyen (ACIIDS (Companion), 2023)

Wireless Multi-Interface Connectivity with Deep Learning-Enabled User Devices: An Energy Efficiency Perspective. - Megumi Kaneko; Thi Ha Ly Dinh; Kenichi Kawamura; Takatsune Moriyama; Yasushi Takatori (IEEE Netw., 2023)

MuLeS: A Multi-Client Learning-Based MPQUIC Scheduler. - Thanh Trung Nguyen; Minh Hai Vu; Thi Ha Ly Dinh; Phi Le Nguyen; Kien Nguyen 002 (CCNC, 2024)

LoGra: an LSTM-DDPG Integrated MPQUIC Scheduler for Mobile Video Streaming. - Minh Hai Vu; Thanh Trung Nguyen; Thi Ha Ly Dinh; Phi Le Nguyen; Kien Nguyen 002 (VTC Fall, 2024)

FQ-SAT: A fuzzy Q-learning-based MPQUIC scheduler for data transmission optimization. - Thanh Trung Nguyen; Minh Hai Vu; Thi Ha Ly Dinh; Thanh Hung Nguyen; Phi Le Nguyen; Kien Nguyen 002 (Comput. Commun., 2024)

A Multi-Agent Risk-Averse Reinforcement Learning Method for Reliability Enhancement in Sub-6GHz/mmWave Mobile Networks. - Megumi Kaneko; Thi Ha Ly Dinh; Yousef N. Shnaiwer; Kenichi Kawamura; Daisuke Murayama; Yasushi Takatori (IEEE Wirel. Commun. Lett., 2024)