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

2 citations · 6 across the 4 of their papers we have counts for

collaborators

5 papers

eess.SP20212 cited

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

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. Taking advantage of…

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.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.SP20201 cited

Harvest-and-Opportunistically-Relay: Analyses on Transmission Outage and Covertness

Yuanjian Li, Rui Zhao, Zhiqiao Nie +1

For enhancing transmission performance, privacy level and energy manipulating efficiency of wireless networks, this paper initiates a novel simultaneous wireless information and po…