MIMO-OFDM Modulation Classification Using 4D2DConvNet for 5G Communications-Reference-Cited by-同舟云学术

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MIMO-OFDM Modulation Classification Using 4D2DConvNet for 5G Communications

Published:2024-07 Issue:7 Volume:13 Page:1883-1887
ISSN:2162-2337
Container-title:IEEE Wireless Communications Letters
language:
Short-container-title:IEEE Wireless Commun. Lett.

Author:

Ren Bing¹^ORCID,Teh Kah Chan¹^ORCID,An Hongyang²^ORCID,Gunawan Erry¹

Affiliation:

1. School of EEE, Nanyang Technological University, Jurong West, Singapore

2. School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China

Funder

School of Electrical and Electronic Engineering (EEE), Nanyang Technological University (NTU), Singapore

National Natural Science Foundation of China

Sichuan Science and Technology Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/5962382/10592855/10509763.pdf?arnumber=10509763

Reference14 articles.

1. Resource Allocation Scheme for Energy Saving in Heterogeneous Networks

2. Energy-Efficient Resource Management in OFDM-Based Cognitive Radio Networks Under Channel Uncertainty

3. A Hybrid Deep Learning Model for Automatic Modulation Classification

4. CNN-Based Automatic Modulation Classification for Beyond 5G Communications

5. Automatic Modulation Recognition of Dual-Component Radar Signals Using ResSwinT-SwinT Network

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep Learning-Based Modulation Recognition for MIMO Systems: Fundamental, Methods, Challenges;IEEE Access;2024

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