K
Kai Xiong
Researcher at University of Electronic Science and Technology of China
Publications - 15
Citations - 524
Kai Xiong is an academic researcher from University of Electronic Science and Technology of China. The author has contributed to research in topics: Edge computing & Beamforming. The author has an hindex of 8, co-authored 13 publications receiving 126 citations. Previous affiliations of Kai Xiong include National and Kapodistrian University of Athens.
Papers
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Journal ArticleDOI
Multi-Hop RIS-Empowered Terahertz Communications: A DRL-Based Hybrid Beamforming Design
Chongwen Huang,Zhaohui Yang,George C. Alexandropoulos,Kai Xiong,Li Wei,Chau Yuen,Zhaoyang Zhang,Merouane Debbah +7 more
TL;DR: In this paper, the authors proposed a hybrid beamforming scheme for the multi-hop RIS-assisted communication networks to improve the coverage range at the TeraHertz-band frequencies.
Journal ArticleDOI
Intelligent Task Offloading for Heterogeneous V2X Communications
TL;DR: An intelligent task offloading framework in heterogeneous vehicular networks with three Vehicle-to-Everything (V2X) communication technologies, namely Dedicated Short Range Communication (DSRC), cellular-based V2X (C-V2 X) communication, and millimeter wave (mmWave) communication is proposed.
Journal ArticleDOI
Edge Intelligence for Autonomous Driving in 6G Wireless System: Design Challenges and Solutions
TL;DR: In this article, a two-tier EI-empowered autonomous driving framework is proposed, where the autonomous vehicles are deployed with the shallow layers by splitting the trained deep neural network model, and an edge server is implemented with the remaining layers and an appropriately trained multi-task learning (MTL) model.
Posted Content
Edge Intelligence for Autonomous Driving in 6G Wireless System: Design Challenges and Solutions
TL;DR: A two-tier EI-empowered autonomous driving framework is proposed, and an edge-vehicle joint inference is proposed through neural network segmentation to achieve efficient online inference with data privacy-preserving and less communication delay.
Proceedings ArticleDOI
Hybrid Beamforming for RIS-Empowered Multi-hop Terahertz Communications: A DRL-based Method
Chongwen Huang,Zhaohui Yang,George C. Alexandropoulos,Kai Xiong,Li Wei,Chau Yuen,Zhaoyang Zhang +6 more
TL;DR: In this paper, the authors proposed a hybrid beamforming scheme for the multi-hop RIS-assisted communication networks to improve the coverage range at the TeraHertz-band frequencies.