1.3k citations · 1.3k across the 11 of their papers we have counts for
4 papers · 1 filter
Adaptive Device-Edge Collaboration on DNN Inference in AIoT: A Digital Twin-Assisted Approach
Shisheng Hu, Mushu Li, Jie Gao +2
Device-edge collaboration on deep neural network (DNN) inference is a promising approach to efficiently utilizing network resources for supporting artificial intelligence of things…
Accuracy-Aware Cooperative Sensing and Computing for Connected Autonomous Vehicles
Xuehan Ye, Kaige Qu, Weihua Zhuang +1
To maintain high perception performance among connected and autonomous vehicles (CAVs), in this paper, we propose an accuracy-aware and resource-efficient raw-level cooperative sen…
Hierarchical Digital Twin for Efficient 6G Network Orchestration via Adaptive Attribute Selection and Scalable Network Modeling
Pengyi Jia, Xianbin Wang, Xuemin Shen
Achieving a holistic and long-term understanding through accurate network modeling is essential for orchestrating future networks with increasing service diversity and infrastructu…
Collaborative Deep Reinforcement Learning for Resource Optimization in Non-Terrestrial Networks
Yang Cao, Shao-Yu Lien, Ying-Chang Liang +3
Non-terrestrial networks (NTNs) with low-earth orbit (LEO) satellites have been regarded as promising remedies to support global ubiquitous wireless services. Due to the rapid mobi…