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Wang Miao

Researcher at University of Exeter

Publications -  36
Citations -  632

Wang Miao is an academic researcher from University of Exeter. The author has contributed to research in topics: Computer science & Virtual network. The author has an hindex of 8, co-authored 33 publications receiving 275 citations. Previous affiliations of Wang Miao include University of Electronic Science and Technology of China & University of Bradford.

Papers
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Journal ArticleDOI

Mobility-Aware Proactive Edge Caching for Connected Vehicles Using Federated Learning

TL;DR: Experimental results demonstrate that MPCF outperforms other baseline caching schemes in terms of the cache hit ratio in vehicular edge networks, and can greatly improve cache performance, effectively protect users’ privacy and significantly reduce communication costs.
Journal ArticleDOI

Performance Modelling and Analysis of Software-Defined Networking under Bursty Multimedia Traffic

TL;DR: A new analytical model to investigate the performance of SDN in the presence of the bursty and correlated arrivals modelled by the Markov Modulated Poisson Process (MMPP) is presented and the Quality-of-Service performance metrics are derived based on the developed analytical model.
Journal ArticleDOI

Stochastic Performance Analysis of Network Function Virtualization in Future Internet

TL;DR: A novel analytical model based on Stochastic Network Calculus (SNC) is proposed to quantitatively investigate the end-to-end performance bound of the NFV networks and is used as a practical and cost-effective tool to investigate the strategies of the service chain design and resource allocations in theNFV networks.
Book ChapterDOI

Unmanned Aerial Vehicles for Disaster Management

TL;DR: This chapter highlights the communication and network technologies that contribute to UAV disaster management systems, surveys the latest development of UAV-assisted disaster management applications, including early warning system, search and rescue, data gathering, emergency communication, and logistics, and presents the preliminary work to demonstrate the benefits and challenges of Uav systems for emergency communication.
Journal ArticleDOI

A Graph Neural Network-Based Digital Twin for Network Slicing Management

TL;DR: In this article, a scalable digital twin of network slicing is developed, aiming to capture the intertwined relationships among slices and monitor the end-to-end (E2E) metrics of slices under diverse network environments.