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.
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Proceedings ArticleDOI
Data Dissemination with Dynamic Backbone Selection in Vehicular Ad Hoc Networks
TL;DR: The proposed protocol selects the backbone vehicles by considering vehicle movement dynamics and link quality between vehicles, and can significantly reduce the MAC layer contention time at each node while maintaining a high packet dissemination ratio.
Proceedings ArticleDOI
Joint MAC and Network Layer Control for VANET Broadcast Communications Considering End-to-End Latency
TL;DR: A joint MAC network layer multi-hop broadcast protocol that can provide a high packet dissemination ratio and low end-to-end delay for various scenarios and the advantage of the proposed protocol over other existing alternatives is demonstrated.
Proceedings ArticleDOI
A learning approach for traffic offloading in stochastic heterogeneous cellular networks
TL;DR: A centralized Q-learning with compact state representation algorithm, which is named as QC-learning is developed such that the macro-cell base stations (BSs) can independently manage the operations of small-cell BSs by making use of the network information obtained from the network controller.
Proceedings ArticleDOI
Dynamic channel assignment and routing for cognitive sensor networks
TL;DR: A data collection and dissemination framework for cognitive radio sensor systems to fully utilize wireless resources while maintaining a reliably connected and efficient topology for each channel.
Journal ArticleDOI
Heterogeneity-Aware Energy Saving and Energy Efficiency Optimization in Dense Small Cell Networks
Shie Wu,Rui Yin,Celimuge Wu +2 more
TL;DR: Taking into account the heterogeneity of small cells, energy saving (ES) and EE are jointly optimized through subchannel allocation, subframe configuration and power allocation, which can achieve good performance in reducing energy consumption as well as improving the system EE.