5 citations · 9 across the 10 of their papers we have counts for
10 papers
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-Assisted Resource Demand Prediction for Multicast Short Video Streaming
Xinyu Huang, Wen Wu, Xuemin Sherman Shen
In this paper, we propose a digital twin (DT)-assisted resource demand prediction scheme to enhance prediction accuracy for multicast short video streaming. Particularly, we constr…
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…
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…
QoE-driven Secure Video Transmission in Cloud-edge Collaborative Networks
Tantan Zhao, Lijun He, Xinyu Huang +1
Video transmission over the backhaul link in cloud-edge collaborative networks usually suffers security risks, which is ignored in most of the existing studies. The characteristics…
Revenue and Energy Efficiency-Driven Delay Constrained Computing Task Offloading and Resource Allocation in a Vehicular Edge Computing Network: A Deep Reinforcement Learning Approach
Xinyu Huang, Lijun He, Xing Chen +2
For in-vehicle application,task type and vehicle state information, i.e., vehicle speed, bear a significant impact on the task delay requirement. However, the joint impact of task…
Vehicle Speed Aware Computing Task Offloading and Resource Allocation Based on Multi-Agent Reinforcement Learning in a Vehicular Edge Computing Network
Xinyu Huang, Lijun He, Wanyue Zhang
For in-vehicle application, the vehicles with different speeds have different delay requirements. However, vehicle speeds have not been extensively explored, which may cause mismat…
Playback experience driven cross layer optimisation of APP, transport and MAC layer for video clients over long-term evolution system
Xinyu Huang, Lijun He
In traditional communication system, information of APP (Application) layer, transport layer and MAC (Media Access Control)layer has not been fully interacted,which inevitably lead…
Towards 5G: Joint Optimization of Video Segment Cache, Transcoding and Resource Allocation for Adaptive Video Streaming in a Muti-access Edge Computing Network
Xinyu Huang, Lijun He, Liejun Wang +1
The cache and transcoding of the multi-access edge computing (MEC) server and wireless resource allocation in eNodeB interact and determine the quality of experience (QoE) of dynam…
A More Refined Mobile Edge Cache Replacement Scheme for Adaptive Video Streaming with Mutual Cooperation in Multi-MEC Servers
Xinyu Huang, Lijun He, Xin Chen +2
In this paper, we propose a more refined video segment based Mobile Edge Computing (MEC) enhanced cache update strategy, which takes into account the client's playback status and t…