Low Complexity LSTM-NN-Based Receiver for Vehicular Communications in the Presence of High-Power Amplifier Distortions

Author:

Dos Reis Ana Flavia1ORCID,Medjahdi Yahia2ORCID,Chang Bruno Sens3ORCID,Sublime Jeremie1ORCID,Brante Glauber3ORCID,Bader C. Faouzi4

Affiliation:

1. Institut Supérieur d’Électronique de Paris (ISEP), Paris, France

2. IMT Nord Europe, Centre for Digital Systems, Institut Mines-Télécom, University of Lille, Lille, France

3. CPGEI, Federal University of Technology-Paraná (UTFPR), Curitiba, Brazil

4. Technology Innovation Institute, Masdar City, Abu Dhabi, United Arab Emirates

Funder

Framework of the EcoTrain Project through the French Agency for Ecological Transition

ADEME-“Digitalisation et Décarbonation du Transport Ferrovaire,”

National Council for Scientific and Technological Development

Institut Supérieur d’Électronique de Paris

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Cited by 4 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. GRACE: Gradient-based XAI Scheme for Channel Estimation in Wireless Communications;2024 IEEE International Mediterranean Conference on Communications and Networking (MeditCom);2024-07-08

2. Design and Implantation of Non-Linear Digital Predistorter for High Power Amplifier;2023 6th International Conference on Engineering Technology and its Applications (IICETA);2023-07-15

3. Recent advances in deep learning models: a systematic literature review;Multimedia Tools and Applications;2023-04-25

4. Memory Effects of High-Power Amplifiers in LSTM-Based Vehicular Channel Estimation;IEEE Access;2023

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