C
Celimuge Wu
Researcher at University of Electro-Communications
Publications - 186
Citations - 4661
Celimuge Wu is an academic researcher from University of Electro-Communications. The author has contributed to research in topics: Vehicular ad hoc network & Wireless ad hoc network. The author has an hindex of 29, co-authored 186 publications receiving 2544 citations. Previous affiliations of Celimuge Wu include Beijing Institute of Technology.
Papers
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Journal ArticleDOI
Learning to Entangle Radio Resources in Vehicular Communications: An Oblivious Game-Theoretic Perspective
TL;DR: This paper adopts an oblivious equilibrium (OE) to approximate the Markov perfect equilibrium, which characterizes the optimal solution to the equivalent game and derives an online algorithm to learn the OE solution.
Journal ArticleDOI
Extended Motion Diffusion-Based Change Detection for Airport Ground Surveillance
TL;DR: Extended motion diffusion (EMD) is proposed to address the problems of incomplete detection in airport ground change detection and results show effectiveness of the proposed algorithm in dealing with haze and camouflage.
Proceedings ArticleDOI
A broadcast path diversity mechanism for delay sensitive VANET safety applications
TL;DR: A mechanism to use path diversity to provide the reliability of reliable multi-hop broadcast protocols for vehicular ad hoc networks is proposed and evaluated using both theoretical analysis and computer simulations.
Proceedings ArticleDOI
Cooperative Content Delivery in Vehicular Networks with Integration of Sub-6 GHz and mmWave
TL;DR: This paper proposes a protocol which integrates licensed Sub-6 GHz band, IEEE 802.11p, and mmWave communications for the content distribution in vehicular networks and shows that the proposed protocol can achieve significant improvement in various scenarios compared to the existing approaches.
Proceedings ArticleDOI
Online Incentive Mechanism for Crowdsourced Radio Environment Map Construction
TL;DR: This paper proposes a novel online incentive mechanism for constructing a fine-grained REM with crowdsourcing in a realistic scenario, where the mobile users arrive and leave in an online manner, and demonstrates that the proposed mechanism outperforms the baseline schemes substantially.