Leveraging Deep Neural Networks for Massive MIMO Data Detection

Author:

Nguyen Ly V.1,Nguyen Nhan T.2,Tran Nghi H.3,Juntti Markku2,Swindlehurst A. Lee4,Nguyen Duy H. N.1

Affiliation:

1. San Diego State University,USA

2. University of Oulu,Finland

3. University of Akron,USA

4. University of California,USA

Funder

National Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications

Cited by 10 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. Variational autoencoder-enhanced deep neural network-based detection for MIMO systems;e-Prime - Advances in Electrical Engineering, Electronics and Energy;2023-12

2. Preset Conditional Generative Adversarial Network for Massive MIMO Detection;IET Signal Processing;2023-11-14

3. Massive MIMO Data Detection Using Matrix Inversion Method and Deep Neural Network;2023 IEEE Asia Pacific Conference on Wireless and Mobile (APWiMob);2023-10-10

4. An Evaluation Platform for Channel Estimation in MIMO Systems;NAECON 2023 - IEEE National Aerospace and Electronics Conference;2023-08-28

5. Data detection based on matrix decomposition for massive MIMO systems in realistic channel scenarios;Physical Communication;2023-04

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