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Integrating Optical and Wireless Techniques towards Novel Fronthaul and Access Architectures in a 5G NR Framework
- Source :
- Applied Sciences, Volume 11, Issue 11, Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual), Universidade de São Paulo (USP), instacron:USP, Applied Sciences, Vol 11, Iss 5048, p 5048 (2021)
- Publication Year :
- 2021
- Publisher :
- MDPI AG, 2021.
-
Abstract
- The fifth-generation of mobile network (5G) and beyond requires a radio access network (RAN) update in order to cope with the incoming increase of wireless data traffic and new applications. In this context, we propose an efficient optical-wireless architecture applied to the non-standalone (NSA) 5G new radio (NR) framework. Several distinct electrical- and optical-based fronthaul configurations combining free-space optical (FSO), wireless links, and radio over fiber (RoF) techniques were implemented and properly analyzed for selection according to network operator deployment requirements. In addition, visible light communication (VLC) was investigated as a future access network technology when immunity to electromagnetic interference is paramount. Experimental results demonstrated fourth-generation of mobile network (4G) and 5G coexistence at Gbit/s throughput and error vector magnitude (EVM) in accordance with 5G NR Release 15.
- Subjects :
- VLC
Technology
QH301-705.5
Computer science
QC1-999
Visible light communication
fronthaul
Throughput
02 engineering and technology
020210 optoelectronics & photonics
Radio over fiber
0202 electrical engineering, electronic engineering, information engineering
ENGENHARIA ELÉTRICA
Wireless
General Materials Science
Biology (General)
QD1-999
Instrumentation
Fluid Flow and Transfer Processes
Radio access network
Access network
business.industry
Physics
Process Chemistry and Technology
optical-wireless systems
General Engineering
020206 networking & telecommunications
Engineering (General). Civil engineering (General)
4G/5G
Computer Science Applications
Chemistry
Cellular network
TA1-2040
business
5G
Computer network
Subjects
Details
- ISSN :
- 20763417
- Volume :
- 11
- Database :
- OpenAIRE
- Journal :
- Applied Sciences
- Accession number :
- edsair.doi.dedup.....b34acfcb8d56e1834982b99b6bbe3d9b
- Full Text :
- https://doi.org/10.3390/app11115048