Machine Learning-Based Linearization Schemes for Radio Over Fiber Systems

Author:

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

Affiliation:

1. Inatel, Santa Rita do Sapucaí, MG, Brazil

2. University of Pernambuco, Recife, PE, Brazil

Funder

RNP-MCTIC

Fundação de Amparo à Pesquisa do Estado de São Paulo

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Financiadora de Estudos e Projetos

Fundação de Amparo à Pesquisa do Estado de Minas Gerais

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics

Cited by 6 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. Low Complexity Digital Predistortion for Multiband Radio Over Fiber Systems;IEEE Microwave and Wireless Technology Letters;2024-07

2. Experimental Analysis of A-RoF Based Optical Communication System for 6G O-RAN Downlink;2024 35th Irish Signals and Systems Conference (ISSC);2024-06-13

3. Digital Predistortion Based Experimental Evaluation of Optimized Recurrent Neural Network for 5G Analog Radio Over Fiber Links;IEEE Access;2024

4. Proposal of a Fiber/Wireless System Assisted by Machine Learning Towards 6G Communications;2023 SBMO/IEEE MTT-S International Microwave and Optoelectronics Conference (IMOC);2023-11-05

5. Amplified radio-over-fiber system linearization using recurrent neural networks;Journal of Optical Communications and Networking;2023-02-15

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