Search Results for author: A. Hamid Aghvami

Found 7 papers, 2 papers with code

Path Planning for Cellular-Connected UAV: A DRL Solution with Quantum-Inspired Experience Replay

no code implementations30 Aug 2021 Yuanjian Li, A. Hamid Aghvami, Daoyi Dong

In cellular-connected unmanned aerial vehicle (UAV) network, a minimization problem on the weighted sum of time cost and expected outage duration is considered.

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

Radio Resource Management for Cellular-Connected UAV: A Learning Approach

no code implementations25 Feb 2021 Yuanjian Li, A. Hamid Aghvami

Integrating unmanned aerial vehicles (UAVs) into existing cellular networks encounters lots of challenges, among which one of the most striking concerns is how to achieve harmonious coexistence of aerial transceivers, inter alia, UAVs, and terrestrial user equipments (UEs).

Management

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

Intelligent Trajectory Planning in UAV-mounted Wireless Networks: A Quantum-Inspired Reinforcement Learning Perspective

no code implementations27 Jul 2020 Yuanjian Li, A. Hamid Aghvami, Daoyi Dong

In this paper, we consider a wireless uplink transmission scenario in which an unmanned aerial vehicle (UAV) serves as an aerial base station collecting data from ground users.

reinforcement-learning Reinforcement Learning (RL) +1

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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