Hao Zhou

IEEE Commun. Mag., January, 2025

2024

Heuristic Algorithms for RIS-Assisted Wireless Networks: Exploring Heuristic-Aided Machine Learning.

[BibT_eX]

[DOI]

IEEE Wirel. Commun., August, 2024

On-Device Intelligence for 5G RAN: Knowledge Transfer and Federated Learning Enabled UE-Centric Traffic Steering.

[BibT_eX]

[DOI]

IEEE Trans. Cogn. Commun. Netw., April, 2024

Smart Home Energy Management: VAE-GAN Synthetic Dataset Generator and Q-Learning.

[BibT_eX]

[DOI]

IEEE Trans. Smart Grid, 2024

Smart Jamming Attack and Mitigation on Deep Transfer Reinforcement Learning Enabled Resource Allocation for Network Slicing.

[BibT_eX]

[DOI]

CoRR, 2024

A Survey on Model-Based, Heuristic, and Machine Learning Optimization Approaches in RIS-Aided Wireless Networks.

[BibT_eX]

[DOI]

IEEE Commun. Surv. Tutorials, 2024

Jamming Attacks and Mitigation in Transfer Learning Enabled 5G RAN Slicing.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Communications, 2024

2023

Knowledge Transfer and Reuse: A Case Study of Ai-Enabled Resource Management in RAN Slicing.

[BibT_eX]

[DOI]

H. Vincent Poor

IEEE Wirel. Commun., October, 2023

Intent-driven Intelligent Control and Orchestration in O-RAN Via Hierarchical Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Cooperative Hierarchical Deep Reinforcement Learning based Joint Sleep, Power, and RIS Control for Energy-Efficient HetNet.

[BibT_eX]

[DOI]

CoRR, 2023

Hierarchical Reinforcement Learning Based Traffic Steering in Multi-RAT 5G Deployments.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Communications, 2023

Beam Selection for Energy-Efficient mmWave Network Using Advantage Actor Critic Learning.

[BibT_eX]

[DOI]

Ycaro Dantas

Proceedings of the IEEE International Conference on Communications, 2023

Distributed Attacks over Federated Reinforcement Learning-Enabled Cell Sleep Control.

[BibT_eX]

[DOI]

Proceedings of the IEEE Globecom Workshops 2023, 2023

Policy Poisoning Attacks on Transfer Learning Enabled Resource Allocation for Network Slicing.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2023

Split Learning for Sensing-Aided Single and Multi-Level Beam Selection in Multi-Vendor RAN.

[BibT_eX]

[DOI]

Ycaro Dantas

Proceedings of the IEEE Global Communications Conference, 2023

Traffic Steering for 5G Multi-RAT Deployments using Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE Consumer Communications & Networking Conference, 2023

2022

Learning From Peers: Deep Transfer Reinforcement Learning for Joint Radio and Cache Resource Allocation in 5G RAN Slicing.

[BibT_eX]

[DOI]

H. Vincent Poor

IEEE Trans. Cogn. Commun. Netw., 2022

Multi-Agent Team Learning in Virtualized Open Radio Access Networks (O-RAN).

[BibT_eX]

[DOI]

Sensors, 2022

Multiagent Bayesian Deep Reinforcement Learning for Microgrid Energy Management Under Communication Failures.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2022

Deep Reinforcement Learning-based Radio Resource Allocation and Beam Management under Location Uncertainty in 5G mmWave Networks.

[BibT_eX]

[DOI]

Yujie Yao

CoRR, 2022

Deep Reinforcement Learning-based Radio Resource Allocation and Beam Management under Location Uncertainty in 5G mm Wave Networks.

[BibT_eX]

[DOI]

Yujie Yao

Proceedings of the IEEE Symposium on Computers and Communications, 2022

Team Learning-Based Resource Allocation for Open Radio Access Network (O-RAN).

[BibT_eX]

[DOI]

Han Zhang

Proceedings of the IEEE International Conference on Communications, 2022

Variational Autoencoder Generative Adversarial Network for Synthetic Data Generation in Smart Home.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Communications, 2022

Hierarchical Reinforcement Learning for RIS-Assisted Energy-Efficient RAN.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2022

Federated Deep Reinforcement Learning for Resource Allocation in O-RAN Slicing.

[BibT_eX]

[DOI]

Han Zhang

Proceedings of the IEEE Global Communications Conference, 2022

Joint Sensing and Communications for Deep Reinforcement Learning-based Beam Management in 6G.

[BibT_eX]

[DOI]

Yujie Yao

Proceedings of the IEEE Global Communications Conference, 2022

Knowledge Transfer based Radio and Computation Resource Allocation for 5G RAN Slicing.

[BibT_eX]

[DOI]

Proceedings of the 19th IEEE Annual Consumer Communications & Networking Conference, 2022

2021

Multi-agent Bayesian Deep Reinforcement Learning for Microgrid Energy Management under Communication Failures.

[BibT_eX]

[DOI]

CoRR, 2021

Learning from Peers: Transfer Reinforcement Learning for Joint Radio and Cache Resource Allocation in 5G Network Slicing.

[BibT_eX]

[DOI]

H. Vincent Poor

CoRR, 2021

Short-Term Load Forecasting for Smart HomeAppliances with Sequence to Sequence Learning.

[BibT_eX]

[DOI]

CoRR, 2021

RAN Resource Slicing in 5G Using Multi-Agent Correlated Q-Learning.

[BibT_eX]

[DOI]

Medhat H. M. Elsayed

Proceedings of the 32nd IEEE Annual International Symposium on Personal, 2021

Short-Term Load Forecasting for Smart Home Appliances with Sequence to Sequence Learning.

[BibT_eX]

[DOI]

Proceedings of the ICC 2021, 2021

Smart Home Energy Management: Sequence-to-Sequence Load Forecasting and Q-Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2021

2020

Decentralized Microgrid Energy Management: A Multi-agent Correlated Q-learning Approach.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Communications, 2020

Correlated Deep Q-learning based Microgrid Energy Management.

[BibT_eX]

[DOI]