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Assessment of digital predistortion methods for DFB‐SSMF radio‐over‐fiber links linearization
Author(s) -
Hadi Muhammad Usman,
Kantana Chouaib,
Traverso Pier A.,
Tartarini Giovanni,
Venard Olivier,
Baudoin Geneviève,
Polleux JeanLuc
Publication year - 2020
Publication title -
microwave and optical technology letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.304
H-Index - 76
eISSN - 1098-2760
pISSN - 0895-2477
DOI - 10.1002/mop.32073
Subject(s) - predistortion , radio over fiber , adjacent channel power ratio , linearization , computer science , electronic engineering , linearity , polynomial , modulation (music) , algorithm , control theory (sociology) , mathematics , wireless , nonlinear system , telecommunications , engineering , amplifier , artificial intelligence , physics , bandwidth (computing) , quantum mechanics , mathematical analysis , control (management) , acoustics
This letter presents a comparative evaluation between three different behavioral models to perform digital predistortion (DPD) that enhances the linearity of radio‐over‐fiber (RoF)‐based front haul links for the mobile network. In particular, the intention is to jump out of the volterra box and propose models based on segmentation approach. Especially the decomposed vector rotation (DVR) model is compared to volterra polynomials such as memory and generalized memory polynomial (GMP) architectures. DPD is employed to RoF links that are based on distributed feedback laser emitting at 1310 nm, and standard single‐mode fiber for long‐term evolution 20‐MHz signal with 256‐QAM modulation format. The effectiveness of the digital predistortion methodology is investigated for varying input powers in terms of normalized mean square error, adjacent channel power ratio, and error vector magnitude. The experimental results demonstrate that DVR achieves elevated linearization when compared to memory polynomial and GMP models.