activity
20202023
most citedResonant Beam Communications with Echo Interference Elimination

6 citations · 10 across the 4 of their papers we have counts for

collaborators

7 papers

eess.SP2023★ 1 cited

Theoretical Analysis of Heterodyne Rydberg Atomic Receiver Sensitivity Based on Transit Relaxation Effect and Frequency Detuning

Shanchi Wu, Chen Gong, Shangbin Li +2

We conduct a theoretical investigation into the impacts of local microwave electric field frequency detuning, laser frequency detuning, and transit relaxation rate on enhancing het…

eess.SP2021★ 6 cited

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…

eess.SP2020★ 2 cited

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…

eess.SP2020★ 1 cited

Wireless Communication Based on Microwave Photon-Level Detection With Superconducting Devices: Achievable Rate Prediction

Junyu Zhang, Chen Gong, Shangbin Li +5

Future wireless communication system embraces physical-layer signal detection with high sensitivity, especially in the microwave photon level. Currently, the receiver primarily ado…

cs.NI2020

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…

cs.LG2020

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…