19 citations · 43 across the 19 of their papers we have counts for
5 papers · 1 filter
Hybrid-Task Meta-Learning: A GNN Approach for Scalable and Transferable Bandwidth Allocation
Xin Hao, Changyang She, Phee Lep Yeoh +3
In this paper, we develop a deep learning-based bandwidth allocation policy that is: 1) scalable with the number of users and 2) transferable to different communication scenarios,…
Task-Oriented Metaverse Design in the 6G Era
Zhen Meng, Changyang She, Guodong Zhao +4
As an emerging concept, the Metaverse has the potential to revolutionize the social interaction in the post-pandemic era by establishing a digital world for online education, remot…
Energy-Aware Offloading in Time-Sensitive Networks with Mobile Edge Computing
Mingxiong Zhao, Jun-Jie Yu, Wen-Tao Li +5
Mobile Edge Computing (MEC) enables rich services in close proximity to the end users to provide high quality of experience (QoE) and contributes to energy conservation compared wi…
Computation Offloading for IoT in C-RAN: Optimization and Deep Learning
Chandan Pradhan, Ang Li, Changyang She +2
We consider computation offloading for Internet-of-things (IoT) applications in multiple-input-multiple-output (MIMO) cloud-radio-access-network (C-RAN). Due to the limited battery…
Cross-layer Design for Mission-Critical IoT in Mobile Edge Computing Systems
Changyang She, Yifan Duan, Guodong Zhao +3
In this work, we propose a cross-layer framework for optimizing user association, packet offloading rates, and bandwidth allocation for Mission-Critical Internet-of-Things (MC-IoT)…