Automatic Modulation Classification Based on Decentralized Learning and Ensemble Learning

Author:

Fu Xue1ORCID,Gui Guan1ORCID,Wang Yu1ORCID,Gacanin Haris2ORCID,Adachi Fumiyuki3ORCID

Affiliation:

1. College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China

2. Institute for Communication Technologies and Embedded Systems, RWTH Aachen University, Aachen, Germany

3. Resilient Wireless Communication Research Group, International Research Institute of Disaster Science (IRIDeS), Tohoku University, Sendai, Japan

Funder

National Key Research and Development Program of China

Postgraduate graduate Research and Practice Innovation Programs 2020

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering

Reference22 articles.

1. Contour Stella Image and Deep Learning for Signal Recognition in the Physical Layer

2. Automatic Modulation Classification Using CNN-LSTM Based Dual-Stream Structure

3. Automatic Modulation Classification Based on Deep Residual Networks With Multimodal Information

4. Communication-efficient learning of deep networks from decentralized data;mcmahan;Proc 20th Int Conf Artif Intell Statist (AISTATS),0

5. Federated optimization in heterogeneous networks;li;Proc Mach Learn Syst,0

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