6 citations · 8 across the 3 of their papers we have counts for
5 papers
Resonant Beam Communications with Echo Interference Elimination
Mingliang Xiong, Qingwen Liu, Gang Wang +4
Resonant beam communications (RBCom) is capable of providing wide bandwidth when using light as the carrier. Besides, the RBCom system possesses the characteristics of mobility, hi…
Knowledge-Driven Machine Learning: Concept, Model and Case Study on Channel Estimation
Daofeng Li, Kaihe Deng, Ming Zhao +2
The power of big data and machine learning has been drastically demonstrated in many fields during the past twenty years which somehow leads to the vague even false understanding t…
Real Entropy Can Also Predict Daily Voice Traffic for Wireless Network Users
Sihai Zhang, Junyao Guo, Tian Lan +2
Voice traffic prediction is significant for network deployment optimization thus to improve the network efficiency. The real entropy based theorectical bound and corresponding pred…
Semi-Federated Learning
Zhikun Chen, Daofeng Li, Ming Zhao +2
Federated learning (FL) enables massive distributed Information and Communication Technology (ICT) devices to learn a global consensus model without any participants revealing thei…
Functional Gaussian Distribution Modelling of Mobility Prediction Accuracy for Wireless Users
Lu Liu, Wuyang Zhou, Sihai Zhang +1
Mobility entropy is proposed to measure predictability of human movements, based on which, the upper and lower bound of prediction accuracy is deduced, but corresponding mathematic…