Amplified radio-over-fiber system linearization using recurrent neural networks

• Published in: Journal of optical communications and networking Vol. 15; no. 3; pp. 144 - 154
• Main Authors: Augusto Melo Pereira, Luiz, Mendes, Luciano Leonel, Bastos Filho, Carmelo Jose Albanez, Cerqueira Sodre, Arismar
• Format: Journal Article
• Language: English
• Published: Piscataway Optica Publishing Group 01.03.2023; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Broadband; Communication; Emission analysis; Linearization; Mach-Zehnder interferometers; Machine learning; Maintenance costs; Mean square errors; Multilayer perceptrons; Neural networks; Nonlinear distortion; Optical distortion; Optical fiber communication; Optical modulation; Optical transmitters; Performance evaluation; Power amplifiers; Radio equipment; Radio frequency; Recurrent neural networks; RF signals; Rural areas

Ubiquitous communication is an emergent feature of the future sixth generation of mobile communication (6G) networks. One of the main challenges of this upcoming mobile network is providing broadband communication wherever connectivity is necessary, including rural areas. Up to now, all previous gen...