most citedScalable Multi-agent Reinforcement Learning Algorithm for Wireless Networks

2 citations · 3 across the 3 of their papers we have counts for

collaborators

5 papers

eess.SP20212 cited

Scalable Multi-agent Reinforcement Learning Algorithm for Wireless Networks

Fenghe Hu, Yansha Deng, A. Hamid Aghvami

Scalability is the key roadstone towards the application of cooperative intelligent algorithms in large-scale networks. Reinforcement learning (RL) is known as model-free and high…

eess.SY2021

Real-time Video Streaming and Control of Cellular-Connected UAV System: Prototype and Performance Evaluation

Hui Zhou, Fenghe Hu, Michal Juras +2

Unmanned aerial vehicles (UAVs) play an increasingly important role in military, public, and civilian applications, where providing connectivity to UAVs is crucial for its real-tim…

eess.SP20201 cited

A Vision of XR-aided Teleoperation System Towards 5G/B5G

Fenghe Hu, Yansha Deng, Hui Zhou +3

Extended Reality (XR)-aided teleoperation has shown its potential in improving operating efficiency in mission-critical, rich-information and complex scenarios. The multi-sensory X…

eess.SP2020

Correlation-aware Cooperative Multigroup Broadcast 360° Video Delivery Network: A Hierarchical Deep Reinforcement Learning Approach

Fenghe Hu, Yansha Deng, A. Hamid Aghvami

With the stringent requirement of receiving video from unmanned aerial vehicle (UAV) from anywhere in the stadium of sports events and the significant-high per-cell throughput for…

eess.SP2020

Cellular-Connected Wireless Virtual Reality: Requirements, Challenges, and Solutions

Fenghe Hu, Yansha Deng, Walid Saad +2

Cellular-connected wireless connectivity provides new opportunities for virtual reality(VR) to offer seamless user experience from anywhere at anytime. To realize this vision, the…