501 citations · 1k across the 25 of their papers we have counts for
8 papers · 1 filter
Digital Twin-Based User-Centric Edge Continual Learning in Integrated Sensing and Communication
Shisheng Hu, Jie Gao, Xinyu Huang +5
In this paper, we propose a digital twin (DT)-based user-centric approach for processing sensing data in an integrated sensing and communication (ISAC) system with high accuracy an…
User Dynamics-Aware Edge Caching and Computing for Mobile Virtual Reality
Mushu Li, Jie Gao, Conghao Zhou +2
In this paper, we present a novel content caching and delivery approach for mobile virtual reality (VR) video streaming. The proposed approach aims to maximize VR video streaming p…
Digital Twin-based 3D Map Management for Edge-assisted Device Pose Tracking in Mobile AR
Conghao Zhou, Jie Gao, Mushu Li +3
Edge-device collaboration has the potential to facilitate compute-intensive device pose tracking for resource-constrained mobile augmented reality (MAR) devices. In this paper, we…
AI-Assisted Slicing-Based Resource Management for Two-Tier Radio Access Networks
Conghao Zhou, Jie Gao, Mushu Li +4
While network slicing has become a prevalent approach to service differentiation, radio access network (RAN) slicing remains challenging due to the need of substantial adaptivity a…
Digital Twin Based User-Centric Resource Management for Multicast Short Video Streaming
Xinyu Huang, Wen Wu, Shisheng Hu +3
Multicast short video streaming (MSVS) can effectively reduce network traffic load by delivering identical video sequences to multiple users simultaneously. The existing MSVS schem…
Digital Twin-Based 3D Map Management for Edge-Assisted Mobile Augmented Reality
Conghao Zhou, Jie Gao, Mushu Li +3
In this paper, we design a 3D map management scheme for edge-assisted mobile augmented reality (MAR) to support the pose estimation of individual MAR device, which uploads camera f…