Robust Deep Learning Approaches for Wireless Communication Systems-Reference-Cited by-同舟云学术

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Robust Deep Learning Approaches for Wireless Communication Systems

Published:2023-12-14 Issue: Volume: Page:120-125
ISSN:
Container-title:Proceedings of the 2023 11th International Conference on Information Technology: IoT and Smart City
language:
Short-container-title:

Author:

Tran Duy Van¹^ORCID,Lam Khai Duc²^ORCID,Tran Hong Thi¹^ORCID

Affiliation:

1. Department of Core Informatics, Graduate School of Informatics, Osaka Metropolitan University, Osaka 558-8585, Japan, Japan

2. Computer Engineering Department, University of Information Technology, Ho Chi Minh City 700000, Vietnam Vietnam National University, Ho Chi Minh City 700000, Vietnam, Vietnam

Funder

Japan Science and Technology Agency

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3638985.3639005

Reference15 articles.

1. Implementation Methodologies of Deep Learning-Based Signal Detection for Conventional MIMO Transmitters

2. Yong Soo Cho, Jaekwon Kim, Won Y Yang, and Chung G Kang. 2010. MIMO-OFDM wireless communications with MATLAB. John Wiley & Sons.

3. Massive MIMO-OFDM Performance Enhancement on 5G

4. Bayesian Optimal Data Detector for Hybrid mmWave MIMO-OFDM Systems With Low-Resolution ADCs

5. Generic Deep Learning-Based Linear Detectors for MIMO Systems Over Correlated Noise Environments

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