Abstract
This article describes a novel experimental study considering a multiband fibre−wireless system for constructing the transport network for fifth-generation (5G) networks. This study describes the development and testing of a 5G new radio (NR) multi-input multi-output (MIMO) hybrid fibre−wireless (FiWi) system for enhanced mobile broadband (eMBB) using digital pre-distortion (DPD). Analog radio over fibre (A-RoF) technology was used to create the optical fronthaul (OFH) that includes a 3 GHz supercell in a long-range scenario as well as a femtocell scenario using the 20 GHz band. As a proof of concept, a Mach Zehnder modulator with two independent radio frequency waveforms modifies a 1310 nm optical carrier using a distributed feedback laser across 10 km of conventional standard single-mode fibre. It may be inferred that a hybrid FiWi-based MIMO-enabled 5G NR system based on OFH could be a strong competitor for future mobile haul applications. Moreover, a convolutional neural network (CNN)-based DPD is used to improve the performance of the link. The error vector magnitude (EVM) performance for 5G NR bands is predicted to fulfil the Third Generation Partnership Project’s (3GPP) Release 17 standards.
Original language | English |
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Pages (from-to) | 218-233 |
Number of pages | 16 |
Journal | Telecom |
Volume | 3 |
Issue number | 2 |
Early online date | 2 Apr 2022 |
DOIs | |
Publication status | Published (in print/issue) - 30 Jun 2022 |
Bibliographical note
Publisher Copyright:© 2022 by the authors.
Keywords
- radio over fibre
- digital pre-distortion
- fibre–wireless system
- convolutional neural network
- error vector magnitude
- power spectral density