31 citations · 60 across the 10 of their papers we have counts for
10 papers
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…
DACFL: Dynamic Average Consensus Based Federated Learning in Decentralized Topology
Zhikun Chen, Daofeng Li, Jinkang Zhu +1
Federated learning (FL) is a burgeoning distributed machine learning framework where a central parameter server (PS) coordinates many local users to train a globally consistent mod…
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…
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…
Quantumized Microwave Detection Based on -Type Three-level Superconducting System: HMM Modeling and Performance Prediction
Junyu Zhang, Chen Gong, Shangbin Li +6
We adopt artificial -type three-level system with superconducting devices for microwave signal detection, where the signal intensity reaches the level of discrete photons instea…
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…
Weak Radio Frequency Signal Detection Based on Piezo-Opto-Electro-Mechanical System: Architecture Design and Sensitivity Prediction
Shanchi Wu, Chen Gong, Chengjie Zuo +8
We propose a novel radio-frequency (RF) receiving architecture based on micro-electro-mechanical system (MEMS) and optical coherent detection module. The architecture converts the…
A Stochastic Geometry Approach to Energy Efficiency in Relay-Assisted Cellular Networks
Na Deng, Sihai Zhang, Wuyang Zhou +1
Though cooperative relaying is believed to be a promising technology to improve the energy efficiency of cellular networks, the relays' static power consumption might worsen the en…