103 citations · 124 across the 4 of their papers we have counts for
4 papers
Empowering the Edge Intelligence by Air-Ground Integrated Federated Learning
Yuben Qu, Chao Dong, Jianchao Zheng +4
Ubiquitous intelligence has been widely recognized as a critical vision of the future sixth generation (6G) networks, which implies the intelligence over the whole network from the…
UAVs as a Service: Boosting Edge Intelligence for Air-Ground Integrated Networks
Chao Dong, Yun Shen, Yuben Qu +3
The air-ground integrated network is a key component of future sixth generation (6G) networks to support seamless and near-instant super-connectivity. There is a pressing need to i…
The Learning and Prediction of Application-level Traffic Data in Cellular Networks
Rongpeng Li, Zhifeng Zhao, Jianchao Zheng +3
Traffic learning and prediction is at the heart of the evaluation of the performance of telecommunications networks and attracts a lot of attention in wired broadband networks. Now…
Dynamic Spectrum Access in Time-varying Environment: Distributed Learning Beyond Expectation Optimization
Yuhua Xu, Jinlong Wang, Qihui Wu +3
This article investigates the problem of dynamic spectrum access for canonical wireless networks, in which the channel states are time-varying. In the most existing work, the commo…