most citedKnowledge-Driven Machine Learning: Concept, Model and Case Study on Channel Estimation

2 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

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…

eess.SP2020★ 1 cited

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…

eess.SP2020

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…

cs.NI2012

Traffic-Aware Relay Sleep Control to Improve Energy Efficiency in Joint Macro-Relay Networks

Na Deng, Ming Zhao, Sihai Zhang +1

In this letter, we consider a joint macro-relay network with densely deployed relay stations (RSs) and dynamically varied traffic load measured by the number of users. An energy-ef…