Machine Learning Applied to 6G Radio over Fiber Systems Linearization-Reference-Cited by-同舟云学术

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Machine Learning Applied to 6G Radio over Fiber Systems Linearization

Published:2022-11-16 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)
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Author:

Pereira Luiz A. M.¹,Mendes Luciano L.²,Bastos-Filho Carmelo J. A.³,Arismar Cerqueira S.¹

Affiliation:

1. Instituto Nacional de Telecomunicações (Inatel),Wireless and Optical Convergent Access (WOCA) Laboratory,Santa Rita do Sapucaí,Brazil

2. Centro de Refer^encia em Radiocomunicações (CRR), Instituto Nacional de Telecomunicações (Inatel),Santa Rita do Sapucaí,Brazil

3. Polytechnic School of Pernambuco Universidade Federal de Pernambuco (UFPE),Santa Rita do Sapucaí,Brazil

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9987724/9987729/09988151.pdf?arnumber=9988151

Reference16 articles.

1. Linearization Schemes for Radio Over Fiber Systems Based on Machine Learning Algorithms

2. Nonlinear Compensation Using Artificial Neural Network in Radio-over-Fiber System;najarro;Journal of information and communication convergence engineering,2018

3. Experimental investigation on multi-dimensional digital predistortion for multi-band radio-over-fiber systems

4. Amplified Radio-over-Fiber System Linearization U sing Recurrent Neural Networks;pereira;Under Review,2022

5. A Multilevel Artificial Neural Network Nonlinear Equalizer for Millimeter-Wave Mobile Fronthaul Systems

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