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Deep Learning-Based Joint Detection for OFDM-NOMA Scheme

  • Published:2021-08 Issue:8 Volume:25 Page:2609-2613
  • ISSN:1089-7798
  • Container-title:IEEE Communications Letters
  • language:
  • Short-container-title:IEEE Commun. Lett.

Author:

Xie YihangORCID,Teh Kah ChanORCID,Kot Alex C.ORCID

Funder

Rapid-Rich Object Search (ROSE) Lab, Nanyang Technological University, Singapore

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Modeling and Simulation

Cited by 35 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. A Deep Convolutional-GRU-SVM-based Hybrid Approach for Signal Detection of Uplink NOMA System;Wireless Personal Communications;2024-08-10

2. Deep learning based detection of signal of interest of uplink NOMA multi-users in NOMA In-band Full-duplex Radio communication;Physical Communication;2024-08

3. MIMO-NOMA-DAE: A Deep Learning based Downlink MIMO-NOMA Scheme for Low-Power Applications with Imperfect CSI;2024 6th Global Power, Energy and Communication Conference (GPECOM);2024-06-04

4. A Machine Learning Approach with Decision Tree-based Signal Detection for MIMO-NOMA Systems;2024 3rd International Conference on Artificial Intelligence For Internet of Things (AIIoT);2024-05-03

5. Deep Learning BASED Signal Detection for High Performance NOMA Communication;2024 1st International Conference on Trends in Engineering Systems and Technologies (ICTEST);2024-04-11
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