5G support for Industrial IoT Applications— Challenges, Solutions, and Research gaps

Varga, Pál; Pető, József; Frankó, Attila; Balla, David; Haja, Dávid; Janky, Ferenc Nándor; Soós, Gábor; Ficzere, Dániel; Maliosz, Markosz; Toka, László

doi:10.3390/s20030828

Cited by 201 publications

(100 citation statements)

References 104 publications

(126 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…MEC yields a significant paradigm shift in industrial Internet of Things (IIoT), well-known as Industry 4.0 -a usecase of 5G technologies, by bringing computing resources close to the lightweight IIoT devices in IIoT domain [155], [192]. In IIoT, there are many application scenarios such as, factory automation, process automation, human-machine interfaces, production IT, logistics and warehousing, monitoring and maintenance.…”

Section: ) Industrial Internetmentioning

confidence: 99%

A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art

et al. 2020

View full text Add to dashboard Cite

Driven by the emergence of new compute-intensive applications and the vision of the Internet of Things (IoT), it is foreseen that the emerging 5G network will face an unprecedented increase in traffic volume and computation demands. However, end users mostly have limited storage capacities and finite processing capabilities, thus how to run compute-intensive applications on resource-constrained users has recently become a natural concern. Mobile edge computing (MEC), a key technology in the emerging fifth generation (5G) network, can optimize mobile resources by hosting compute-intensive applications, process large data before sending to the cloud, provide the cloud-computing capabilities within the radio access network (RAN) in close proximity to mobile users, and offer context-aware services with the help of RAN information. Therefore, MEC enables a wide variety of applications, where the real-time response is strictly required, e.g., driverless vehicles, augmented reality, robotics, and immerse media. Indeed, the paradigm shift from 4G to 5G could become a reality with the advent of new technological concepts. The successful realization of MEC in the 5G network is still in its infancy and demands for constant efforts from both academic and industry communities. In this survey, we first provide a holistic overview of MEC technology and its potential use cases and applications. Then, we outline up-to-date researches on the integration of MEC with the new technologies that will be deployed in 5G and beyond. We also summarize testbeds and experimental evaluations, and open source activities, for edge computing. We further summarize lessons learned from state-of-the-art research works as well as discuss challenges and potential future directions for MEC research.

show abstract

Section: ) Industrial Internetmentioning

confidence: 99%

A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art

et al. 2020

View full text Add to dashboard Cite

show abstract

“…The growth of 4G growth will continue, replacing 3G and 2G infrastructures in the following years-meanwhile, 5G is becoming reality. Current 5G research trends are summarized in [9]: private campus networks and production-related applications, just to mention a few.…”

Section: Related Workmentioning

confidence: 99%

Towards Traffic Identification and Modeling for 5G Application Use-Cases

2020

Self Cite

View full text Add to dashboard Cite

To analyze next-generation mobile networks properly, there is a need to define key performance indicators (KPIs). Testing signaling only or just partial domains of the network have been replaced with end-to-end testing methodologies. With the appearing of machine-to-machine (M2M) applications, this question became even harder, since there is no direct user feedback. Quality of experience cannot be measured accurately in M2M applications, even if the network operates correctly and without failures. There are dozens of new—but theoretical—use-cases for 5G; however, these are not tested on a live network. The modeling methodology used throughout the paper follows the steps of observation, analysis, model creation, implementation, and verification. The first part of the paper examines the three application-types: enhanced mobile broadband (eMBB), critical Internet of Things (cIoT), and mass Internet of Things (mIoT). Afterwards, we introduce the main traffic characteristics based on current mobile networks’ traffic patterns and measurements. Considering the measurement results, we introduce a methodology and define traffic models for the simulation of different application-types. To validate these models, we compare the generated artificial traffic with real traffic patterns. In the second part of the paper, we examine what the main effects of these traffic patterns on a domestic 5G test-network are. Finally, we suggest some considerations on the possible main impacts regarding 5G network design.

show abstract

“…For all these reasons, we expect that the pressure for solutions will be increased with the upcoming penetration of 5G [ 15 ] and the deployment of more and more complex infrastructures for critical monitoring and control, either inside the traditional process and manufacturing industry, or outside it, in modern IIoT verticals, such as autonomous vehicles and V2V/V2I interactions, smart agriculture, smart energy, smart buildings and cities, and many others.…”

Section: What Next?mentioning

confidence: 99%