Real-time high-bandwidth mm-wave 5G NR signal transmission with analog radio-over-fiber fronthaul over multi-core fiber

Author:

Rommel SimonORCID,Grivas Evangelos,Cimoli BrunoORCID,Dodane DelphinORCID,Morales AlvaroORCID,Pikasis Evangelos,Bourderionnet JeromeORCID,Feugnet Gilles,Barros Carvalho JulianaORCID,Katsikis Michail,Ntontin KonstantinosORCID,Kritharidis Dimitrios,Spaleniak Izabela,Mitchell Paul,Dubov MykhayloORCID,Tafur Monroy IdelfonsoORCID

Abstract

AbstractThis article presents an experimental demonstration of a high-capacity millimeter-wave 5G NR signal transmission with analog radio-over-fiber (ARoF) fronthaul over multi-core fiber and full real-time processing. The demonstration validates the core of the blueSPACE fronthaul architecture which combines ARoF fronthaul with space division multiplexing in the optical distribution network to alleviate the fronthaul capacity bottleneck and maintain a centralized radio access network with fully centralized signal processing. The introduction of optical beamforming in the blueSPACE architecture brings true multi-beam transmission and enables full spatial control over the RF signal. The proposed ARoF architecture features a transmitter that generates the ARoF signal and an optical signal carrying a reference local oscillator employed for downconversion at the remote unit from a single RF reference at the central office. A space division multiplexing based radio access network with multi-core fibre allows parallel transport of the uplink ARoF signal and reference local oscillator at the same wavelength over separate cores. A complete description of the real-time signal processing and experimental setup is provided and system performance is evaluated. Transmission of an 800 MHz wide extended 5G NR fronthaul signal over a 7-core fibre is shown with full real-time signal processing, achieving 1.4 Gbit/s with a bit error rate $$<3.8\times 10^{-3}$$ < 3.8 × 10 - 3 and thus below the limit for hard-decision forward error correction with 7% overhead.

Funder

H2020 LEIT Information and Communication Technologies

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Computer Science Applications,Signal Processing

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