activity
20122021
most citedA General Deep Reinforcement Learning Framework for Grant-Free NOMA Optimization in mURLLC

6 citations · 14 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG20215 cited

Machine Learning for Massive Industrial Internet of Things

Hui Zhou, Changyang She, Yansha Deng +2

Industrial Internet of Things (IIoT) revolutionizes the future manufacturing facilities by integrating the Internet of Things technologies into industrial settings. With the deploy…

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…

cs.IT20216 cited

A General Deep Reinforcement Learning Framework for Grant-Free NOMA Optimization in mURLLC

Yan Liu, Yansha Deng, Hui Zhou +2

Grant-free non-orthogonal multiple access (GF-NOMA) is a potential technique to support massive Ultra-Reliable and Low-Latency Communication (mURLLC) service. However, the dynamic…

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…

cs.NI20122 cited

Cell Association and Handover Management in Femtocell Networks

Hui Zhou, Donglin Hu, Shiwen Mao +2

Although the technology of femtocells is highly promising, many challenging problems should be addressed before fully harvesting its potential. In this paper, we investigate the pr…