Search Results for author: Fenghe Hu

Found 5 papers, 2 papers with code

Scalable Multi-agent Reinforcement Learning Algorithm for Wireless Networks

1 code implementation1 Aug 2021 Fenghe Hu, Yansha Deng, A. Hamid Aghvami

This introduces the scalability challenges, while multi-agent reinforcement shows the opportunity to cope this challenges and extend the intelligent algorithm to cooperative large-scale network.

Decision Making Multi-agent Reinforcement Learning +2

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

no code implementations26 Jan 2021 Hui Zhou, Fenghe Hu, Michal Juras, Asish B Mehta, Yansha Deng

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-time control, video streaming, and data collection.

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

no code implementations18 Nov 2020 Fenghe Hu, Yansha Deng, Hui Zhou, Tae Hun Jung, Chan-Byoung Chae, A. Hamid Aghvami

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

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

1 code implementation21 Oct 2020 Fenghe Hu, Yansha Deng, A. Hamid Aghvami

Our proposed learning architectures is effective and scalable for a high-dimensional cooperative association problem with increasing APs and VR users.

Reinforcement Learning (RL) Scheduling

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

no code implementations13 Jan 2020 Fenghe Hu, Yansha Deng, Walid Saad, Mehdi Bennis, A. Hamid Aghvami

Cellular-connected wireless connectivity provides new opportunities for virtual reality(VR) to offer seamless user experience from anywhere at anytime.

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