output
20172020
most citedMachine Learning based Intelligent Cognitive Network using Fog Computing

13 citations

5 papers

cs.CR20201 cited

Hybrid Blockchain-Enabled Secure Microservices Fabric for Decentralized Multi-Domain Avionics Systems

Ronghua Xu, Yu Chen, Erik Blasch +3

Advancement in artificial intelligence (AI) and machine learning (ML), dynamic data driven application systems (DDDAS), and hierarchical cloud-fog-edge computing paradigm provide o…

eess.SP2019

Electricity Consumption Forecasting for Smart Grid using the Multi-Factor Back-Propagation Neural Network

Hao Song, Yu Chen, Ning Zhou +1

With the development of modern information technology (IT), a smart grid has become one of the major components of smart cities. To take full advantage of the smart grid, the capab…

eess.SP201713 cited

Machine Learning based Intelligent Cognitive Network using Fog Computing

Jingyang Lu, Lun Li, Genshe Chen +3

In this paper, a Cognitive Radio Network (CRN) based on artificial intelligence is proposed to distribute the limited radio spectrum resources more efficiently. The CRN framework c…

eess.SP2017

An adaptive software defined radio design based on a standard space telecommunication radio system API

Wenhao Xiong, Xin Tian, Genshe Chen +2

Software defined radio (SDR) has become a popular tool for the implementation and testing for communications performance. The advantage of the SDR approach includes: a re-configura…

eess.SP20178 cited

Dynamic Multi-Arm Bandit Game Based Multi-Agents Spectrum Sharing Strategy Design

Jingyang Lu, Lun Li, Dan Shen +4

For a wireless avionics communication system, a Multi-arm bandit game is mathematically formulated, which includes channel states, strategies, and rewards. The simple case includes…