Experimental Evaluation of Hybrid Fibre–Wireless System for 5G Networks
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 (Fi...
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MDPI AG
2022-04-01
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Online Access: | https://www.mdpi.com/2673-4001/3/2/14 |
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author | Muhammad Usman Hadi Jian Song Sunish Kumar Orappanpara Soman Ardavan Rahimian Adnan Ahmad Cheema |
author_facet | Muhammad Usman Hadi Jian Song Sunish Kumar Orappanpara Soman Ardavan Rahimian Adnan Ahmad Cheema |
author_sort | Muhammad Usman Hadi |
collection | DOAJ |
description | 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. |
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format | Article |
id | doaj.art-5c0228585fb24eb183ecc206a6f5ceb3 |
institution | Directory Open Access Journal |
issn | 2673-4001 |
language | English |
last_indexed | 2024-03-09T22:20:08Z |
publishDate | 2022-04-01 |
publisher | MDPI AG |
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series | Telecom |
spelling | doaj.art-5c0228585fb24eb183ecc206a6f5ceb32023-11-23T19:14:55ZengMDPI AGTelecom2673-40012022-04-013221823310.3390/telecom3020014Experimental Evaluation of Hybrid Fibre–Wireless System for 5G NetworksMuhammad Usman Hadi0Jian Song1Sunish Kumar Orappanpara Soman2Ardavan Rahimian3Adnan Ahmad Cheema4SenComm Research Lab, School of Engineering, Ulster University, Newtownabbey BT37 0QB, UKNokia Bell Labs, 91620 Nozay, FranceSenComm Research Lab, School of Engineering, Ulster University, Newtownabbey BT37 0QB, UKSenComm Research Lab, School of Engineering, Ulster University, Newtownabbey BT37 0QB, UKSenComm Research Lab, School of Engineering, Ulster University, Newtownabbey BT37 0QB, UKThis 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.https://www.mdpi.com/2673-4001/3/2/14radio over fibredigital pre-distortionfibre–wireless systemconvolutional neural networkerror vector magnitudepower spectral density |
spellingShingle | Muhammad Usman Hadi Jian Song Sunish Kumar Orappanpara Soman Ardavan Rahimian Adnan Ahmad Cheema Experimental Evaluation of Hybrid Fibre–Wireless System for 5G Networks Telecom radio over fibre digital pre-distortion fibre–wireless system convolutional neural network error vector magnitude power spectral density |
title | Experimental Evaluation of Hybrid Fibre–Wireless System for 5G Networks |
title_full | Experimental Evaluation of Hybrid Fibre–Wireless System for 5G Networks |
title_fullStr | Experimental Evaluation of Hybrid Fibre–Wireless System for 5G Networks |
title_full_unstemmed | Experimental Evaluation of Hybrid Fibre–Wireless System for 5G Networks |
title_short | Experimental Evaluation of Hybrid Fibre–Wireless System for 5G Networks |
title_sort | experimental evaluation of hybrid fibre wireless system for 5g networks |
topic | radio over fibre digital pre-distortion fibre–wireless system convolutional neural network error vector magnitude power spectral density |
url | https://www.mdpi.com/2673-4001/3/2/14 |
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