501 citations · 1k across the 25 of their papers we have counts for
5 papers · 1 filter
Digital Twin-Driven Computing Resource Management for Vehicular Networks
Mushu Li, Jie Gao, Conghao Zhou +3
This paper presents a novel approach for computing resource management of edge servers in vehicular networks based on digital twins and artificial intelligence (AI). Specifically,…
Digital Twin-Assisted Collaborative Transcoding for Better User Satisfaction in Live Streaming
Xinyu Huang, Mushu Li, Wen Wu +2
In this paper, we propose a digital twin (DT)-assisted cloud-edge collaborative transcoding scheme to enhance user satisfaction in live streaming. We first present a DT-assisted tr…
Digital Twin-Empowered Network Planning for Multi-Tier Computing
Conghao Zhou, Jie Gao, Mushu Li +3
In this paper, we design a resource management scheme to support stateful applications, which will be prevalent in 6G networks. Different from stateless applications, stateful appl…
Personalized QoE Enhancement for Adaptive Video Streaming: A Digital Twin-Assisted Scheme
Xinyu Huang, Conghao Zhou, Wen Wu +4
In this paper, we present a digital twin (DT)-assisted adaptive video streaming scheme to enhance personalized quality-of-experience (PQoE). Since PQoE models are user-specific and…
Split Learning over Wireless Networks: Parallel Design and Resource Management
Wen Wu, Mushu Li, Kaige Qu +6
Split learning (SL) is a collaborative learning framework, which can train an artificial intelligence (AI) model between a device and an edge server by splitting the AI model into…