Towards Intelligent Industry 4.0 5G Networks: A First Throughput and QoE Measurement Campaign

Tärneberg, William; Hamsis, Omar; Hedlund, John; Brunnström, Kjell; Fitzgerald, Emma; Johnsson, Andreas; Berggren, Viktor; Kihl, Maria; Rao, Akhila; Steinert, Rebecca; Kilinc, Caner

doi:10.23919/softcom50211.2020.9238299

Cited by 10 publications

(6 citation statements)

References 10 publications

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“…Ipref tool is used to measure the network throughput by establishing a spatial E2E throughput between the UE and the data network [18]. Ipref tool will be used to measure the performance of the Virtual link for each slice by sending TCP packets with different data rates from the UE slices to the DNNs.…”

Section: Resultsmentioning

confidence: 99%

Performance Evaluation for End-to-End Slice Management in 5G/B5G Cellular Networks

Mohammedali

Kanakis

Al-Sherbaz

et al. 2022

2022 International Conference on Software, Telecommunications and Computer Networks (SoftCOM)

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End-to-End (E2E) virtual networks represent a key technology in future cellular networks. Generally, the E2E connection means each slice has an independent part of the RAN, User Plane Function (UPF) and the 5G Core. Within each slice, a subscriber may have one or more Quality of Service (QoS) flows. These flows only exist within the slices. According to the 3G Partnership Project (3GPP) Technical Specification (TS), it could be at most eight Single Network Slice Selection Assistance Informations (S-NSSAIs) in the Allowed list. Requested NSSAIs sent in signalling messages; registration request, accept and respectively; between the user and the network. These messages allow the network to select the serving Access and Mobility Management Function (AMF), network slices and Network Slice Instances (NSIs)for the user. The research idea is to improve the Quality of Service (QoS) and the Quality of Experience (QoE) for the user when connecting to different slices on the 5G systems. The slice performance for one slice should not be affected by other slice traffic. This paper evaluates the performance of E2E 5G slicing in terms of throughput, jitter, reliability, transmission rate and mobility under different circumstances. In the proposed system, the performance of the slice is checked when the user connects to eight slices or more at the same time. In addition, we propose a slice termination and connection algorithm that allows the user to register new slices. Moreover, the algorithm allows users who are already registered to be released after using slices, enabling more effective use of the network resources.

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Section: Resultsmentioning

confidence: 99%

Performance Evaluation for End-to-End Slice Management in 5G/B5G Cellular Networks

Mohammedali

Kanakis

Al-Sherbaz

et al. 2022

2022 International Conference on Software, Telecommunications and Computer Networks (SoftCOM)

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“…The authors of [14] evaluated the handover performance of Wi-Fi 6 in an indoor industrial environment; the 802.11r roaming functionality was evaluated for a mobility use-case, using an AMR with some stationary background devices that transmitted traffic to load the network. The quality of experience (QoE) and throughput of the 5G network was evaluated in [15]. The results obtained by the authors indicate that the relationship between network performance and QoE in industrial settings is complex, due to a time-variant dependency.…”

Section: Related Workmentioning

confidence: 99%

An Empirical Study of 5G, Wi-Fi 6, and Multi-Connectivity Scalability in an Indoor Industrial Scenario

Segura,

Damsgaard,

Kabaci

et al. 2024

IEEE Access

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Industry 4.0 is being adopted by the manufacturing sector to improve the flexibility and reduce installation costs by the use of wireless connectivity. There is an open question of which wireless technology deployment should be used in the factory to fulfil the requirements for next-generation applications such as autonomous mobile robots. Wi-Fi technology is the most extended and easy to deploy, while the fifth generation of mobile networks (5G) network has been designed to support these industrial needs. Therefore, it is important to compare both technologies from a performance point of view, especially under different load conditions and number of devices. The use of multi-connectivity between 5G and Wi-Fi can also be an option to fulfil the requirements for the most critical real-time applications. In this paper, we empirically measure the scalability of 5G, Wi-Fi and multi-connectivity in the ''Aalborg University 5G Smart Production Lab'' and compare them in terms of latency and packet loss with different packet sizes. We found that in general Wi-Fi obtains lower latencies but large tails in the distribution, with a higher packet loss compared to 5G. On the other hand, 5G latency is very consistent with bounded tails, and low packet loss is obtained. In terms of scalability, 5G scales better than Wi-Fi, the latter being very affected by the number of devices transmitting data. Finally, multi-connectivity showed an improved reliability and lower latencies in all evaluated cases.

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“…Apart from time sensitivity and quick connectivity, industrial automation requires intelligent networks to consider the dynamic nature of the equipment, the network and the operators involved. Intelligent industrial 5G networks are expected to meet such precise requirements through domain specific knowledge [93]. Furthermore, the requirements of various diversified industries include latency, reliability, jitter-free, lower packet loss, and accuracy [94,95].…”

Section: Robots and Dronesmentioning

confidence: 99%

A Modern Approach towards an Industry 4.0 Model: From Driving Technologies to Management

et al. 2022

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Every so often, a confluence of novel technologies emerges that radically transforms every aspect of the industry, the global economy, and finally, the way we live. These sharp leaps of human ingenuity are known as industrial revolutions, and we are currently in the midst of the fourth such revolution, coined Industry 4.0 by the World Economic Forum. Building on their guideline set of technologies that encompass Industry 4.0, we present a full set of pillar technologies on which Industry 4.0 project portfolio management rests as well as the foundation technologies that support these pillars. A complete model of an Industry 4.0 factory which relies on these pillar technologies is presented. The full set of pillars encompasses cyberphysical systems and Internet of Things (IoT), artificial intelligence (AI), machine learning (ML) and big data, robots and drones, cloud computing, 5G and 6G networks, 3D printing, virtual and augmented reality, and blockchain technology. These technologies are based on a set of foundation technologies which include advances in computing, nanotechnology, biotechnology, materials, energy, and finally cube satellites. We illustrate the confluence of all these technologies in a single model factory. This new factory model succinctly demonstrates the advancements in manufacturing introduced by these modern technologies, which qualifies this as a seminal industrial revolutionary event in human history.

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Towards Intelligent Industry 4.0 5G Networks: A First Throughput and QoE Measurement Campaign

Cited by 10 publications

References 10 publications

Performance Evaluation for End-to-End Slice Management in 5G/B5G Cellular Networks

Performance Evaluation for End-to-End Slice Management in 5G/B5G Cellular Networks

An Empirical Study of 5G, Wi-Fi 6, and Multi-Connectivity Scalability in an Indoor Industrial Scenario

A Modern Approach towards an Industry 4.0 Model: From Driving Technologies to Management

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