Open AccessImproving spectral efficiency of digital radio-over-fiber transmission using two-dimensional discrete cosine transform with vector quantization
Author(s) -
Feng Xia,
Yali Jia,
Yan Liu,
Jun Luo,
Peng Li,
Wei Pan,
Xihua Zou,
Bin Luo
Publication year - 2021
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.432973
Subject(s) - discrete cosine transform , spectral efficiency , computer science , quantization (signal processing) , broadband , radio over fiber , electronic engineering , transmission (telecommunications) , multiplexing , raised cosine filter , vector quantization , optics , modulation (music) , telecommunications , algorithm , physics , bandwidth (computing) , channel (broadcasting) , acoustics , engineering , artificial intelligence , low pass filter , high pass filter , image (mathematics)
Radio-over-fiber (RoF) transmission is a quite reliable technology to support the current and future demands of rapidly progressing broadband wireless network with large capacity and high spectral efficiency. In this paper, we report and demonstrate a digital RoF transmission system using two-dimensional discrete cosine transform with vector quantization (2D-DCT-VQ). By employing the 2D-DCT-VQ technique, the spectral efficiency can be greatly improved, while the system performance is comparable to the traditional approach without compression. The proposed method is experimentally demonstrated in a 20-km 5-Gbaud/λ four-level pulse modulation intensity-modulation/direct-detection optical link. In the orthogonal frequency-division multiplexing -modulated downlink illustrated experimentally, the transmission rate rises by 69.49% on account of the compressed samples by using the proposed method.