Cross-Layer Design and Performance Analysis for Ultra-Reliable Factory of the Future Based on 5G Mobile Networks
To provide a new level of reliability, latency, and support a massive number of users and smart objects, a new 5G multi-services air interface needs to be addressed for the factory of the future (FoF). However, there are limitations in providing connectivity to a dynamic machine in a factory due to...
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doaj-7954c264c19243979558a7b7b4e4a28d2021-05-27T23:03:11ZengIEEEIEEE Access2169-35362021-01-019681616817510.1109/ACCESS.2021.30781659425520Cross-Layer Design and Performance Analysis for Ultra-Reliable Factory of the Future Based on 5G Mobile NetworksAthirah Mohd Ramly0https://orcid.org/0000-0001-8282-297XNor Fadzilah Abdullah1https://orcid.org/0000-0002-6593-5603Rosdiadee Nordin2https://orcid.org/0000-0001-9254-2023Department of Electrical, Electronic, and System Engineering, National University of Malaysia, Bangi, MalaysiaDepartment of Electrical, Electronic, and System Engineering, National University of Malaysia, Bangi, MalaysiaDepartment of Electrical, Electronic, and System Engineering, National University of Malaysia, Bangi, MalaysiaTo provide a new level of reliability, latency, and support a massive number of users and smart objects, a new 5G multi-services air interface needs to be addressed for the factory of the future (FoF). However, there are limitations in providing connectivity to a dynamic machine in a factory due to several strict industrial automation requirements. In particular, the strict wireless communication latency and reliability requirements are the major challenges to enable the Industry 4.0 vision. In this paper, a PHY-MAC layer cross-layer model that combines a semi-persistent scheduling at the medium access control layer and NOMA at the physical layer has been proposed to address the limitations. The work extensively investigates the performance of the factory of the future with various considerations of 5G spectrums (in this case 3.5 GHz and 28 GHz), speeds and frequency diversity. In addition, the packet error rate (PER), outage probability and throughput in MAC are evaluated in terms of network density deployment (sparse, moderate, dense), different kinds of speed; 0 km/h, 3 km/h, 7 km/h and 10 km/h, under two 5G frequency spectrums. Through extensive simulations, the considered 5G system parameters produced better results in terms of reliability, where the results showed that the frequency diversity outperformed non-diversity by 2 dB. In a sparse network, the PER results showed better results compared to the dense network density by 2 dB (MMSE), 8 dB (LS-Linear) and 2 dB (LS-Spline). Besides that, robotics in sparse network density and stationary exhibited the best PER results, which is as low as 10<sup>−7</sup>. Moreover, the performance of mid-band frequency outperformed the high-band frequency by 1.8dB (MMSE) in dense condition and 1.5 dB (MMSE) in sparse deployment at PER = 10<sup>−6</sup>. Hence, this study could be a useful insight for the factory of the future services that are utilizing a 5G mid-band spectrum as well as a high-band spectrum.https://ieeexplore.ieee.org/document/9425520/5Gcross-layerPHYMACNOMAsemi-persistent |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Athirah Mohd Ramly Nor Fadzilah Abdullah Rosdiadee Nordin |
spellingShingle |
Athirah Mohd Ramly Nor Fadzilah Abdullah Rosdiadee Nordin Cross-Layer Design and Performance Analysis for Ultra-Reliable Factory of the Future Based on 5G Mobile Networks IEEE Access 5G cross-layer PHY MAC NOMA semi-persistent |
author_facet |
Athirah Mohd Ramly Nor Fadzilah Abdullah Rosdiadee Nordin |
author_sort |
Athirah Mohd Ramly |
title |
Cross-Layer Design and Performance Analysis for Ultra-Reliable Factory of the Future Based on 5G Mobile Networks |
title_short |
Cross-Layer Design and Performance Analysis for Ultra-Reliable Factory of the Future Based on 5G Mobile Networks |
title_full |
Cross-Layer Design and Performance Analysis for Ultra-Reliable Factory of the Future Based on 5G Mobile Networks |
title_fullStr |
Cross-Layer Design and Performance Analysis for Ultra-Reliable Factory of the Future Based on 5G Mobile Networks |
title_full_unstemmed |
Cross-Layer Design and Performance Analysis for Ultra-Reliable Factory of the Future Based on 5G Mobile Networks |
title_sort |
cross-layer design and performance analysis for ultra-reliable factory of the future based on 5g mobile networks |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2021-01-01 |
description |
To provide a new level of reliability, latency, and support a massive number of users and smart objects, a new 5G multi-services air interface needs to be addressed for the factory of the future (FoF). However, there are limitations in providing connectivity to a dynamic machine in a factory due to several strict industrial automation requirements. In particular, the strict wireless communication latency and reliability requirements are the major challenges to enable the Industry 4.0 vision. In this paper, a PHY-MAC layer cross-layer model that combines a semi-persistent scheduling at the medium access control layer and NOMA at the physical layer has been proposed to address the limitations. The work extensively investigates the performance of the factory of the future with various considerations of 5G spectrums (in this case 3.5 GHz and 28 GHz), speeds and frequency diversity. In addition, the packet error rate (PER), outage probability and throughput in MAC are evaluated in terms of network density deployment (sparse, moderate, dense), different kinds of speed; 0 km/h, 3 km/h, 7 km/h and 10 km/h, under two 5G frequency spectrums. Through extensive simulations, the considered 5G system parameters produced better results in terms of reliability, where the results showed that the frequency diversity outperformed non-diversity by 2 dB. In a sparse network, the PER results showed better results compared to the dense network density by 2 dB (MMSE), 8 dB (LS-Linear) and 2 dB (LS-Spline). Besides that, robotics in sparse network density and stationary exhibited the best PER results, which is as low as 10<sup>−7</sup>. Moreover, the performance of mid-band frequency outperformed the high-band frequency by 1.8dB (MMSE) in dense condition and 1.5 dB (MMSE) in sparse deployment at PER = 10<sup>−6</sup>. Hence, this study could be a useful insight for the factory of the future services that are utilizing a 5G mid-band spectrum as well as a high-band spectrum. |
topic |
5G cross-layer PHY MAC NOMA semi-persistent |
url |
https://ieeexplore.ieee.org/document/9425520/ |
work_keys_str_mv |
AT athirahmohdramly crosslayerdesignandperformanceanalysisforultrareliablefactoryofthefuturebasedon5gmobilenetworks AT norfadzilahabdullah crosslayerdesignandperformanceanalysisforultrareliablefactoryofthefuturebasedon5gmobilenetworks AT rosdiadeenordin crosslayerdesignandperformanceanalysisforultrareliablefactoryofthefuturebasedon5gmobilenetworks |
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