D
Dianlei Xu
Researcher at Qingdao University
Publications - 12
Citations - 671
Dianlei Xu is an academic researcher from Qingdao University. The author has contributed to research in topics: Cellular network & Enhanced Data Rates for GSM Evolution. The author has an hindex of 6, co-authored 11 publications receiving 168 citations. Previous affiliations of Dianlei Xu include University of Helsinki & Tsinghua University.
Papers
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All One Needs to Know about Metaverse: A Complete Survey on Technological Singularity, Virtual Ecosystem, and Research Agenda
Lik Hang Lee,Tristan Braud,Pengyuan Zhou,Lin Wang,Dianlei Xu,Zijun Lin,Abhishek Kumar,Carlos Bermejo,Pan Hui +8 more
TL;DR: This survey paper presents the first effort to offer a comprehensive framework that examines the latest metaverse development under the dimensions of state-of-the-art technologies and metaverse ecosystems, and illustrates the possibility of the digital `big bang' of the authors' cyberspace.
Journal ArticleDOI
A Survey of Opportunistic Offloading
TL;DR: A comprehensive review of the research field from a multi-dimensional view based on application goal, realizing approach, offloading direction, etc, and presents a complete introductory guide to the researches relevant to opportunistic offloading.
Posted Content
Edge Intelligence: Architectures, Challenges, and Applications
TL;DR: This survey article provides a comprehensive introduction to edge intelligence and its application areas and presents a systematic classification of the state of the solutions by examining research results and observations for each of the four components.
Journal ArticleDOI
RL/DRL Meets Vehicular Task Offloading Using Edge and Vehicular Cloudlet: A Survey
Jinshi Liu,Manzoor Ahmed,Muhammad Ayzed Mirza,Wali Ullah Khan,Dianlei Xu,Jianbo Li,Abdul Aziz,Zhu Han +7 more
TL;DR: This work is the first to cover RL/DRL-based vehicular task offloading and provides lessons learned and open research challenges in this field and discusses the possible trend for future research.
Edge Intelligence: Empowering Intelligence to the Edge of Network
TL;DR: A comprehensive survey of the literature surrounding edge intelligence can be found in this article, where four fundamental components of edge intelligence are identified: edge caching, edge training, edge inference, and edge offloading.