Model-Driven Deep Learning for MIMO Detection

Author:

He HengtaoORCID,Wen Chao-KaiORCID,Jin ShiORCID,Li Geoffrey Ye

Funder

National Basic Research Program of China

National Science Foundation of China (NSFC) for Distinguished Young Scholars

NSFC

Scientific Research Foundation of Graduate School of Southeast University

Scholarship from the China Scholarship Council

Ministry of Science and Technology of Taiwan

ITRI in Hsinchu, Taiwan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Signal Processing

Cited by 191 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. Implementation of the deep learning method for signal detection in massive-MIMO-NOMA systems;Heliyon;2024-02

2. Federated Generative-Adversarial-Network-Enabled Channel Estimation;Intelligent Computing;2024-01

3. Deep Learning for MIMO Communications;MIMO Communications - Fundamental Theory, Propagation Channels, and Antenna Systems;2023-12-20

4. Towards artificial intelligence-aided MIMO detection for 6G communication systems: A review of current trends, challenges and future directions;e-Prime - Advances in Electrical Engineering, Electronics and Energy;2023-12

5. Understanding Deep MIMO Detection;IEEE Transactions on Wireless Communications;2023-12

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