Beyond 5G Private Networks: the 5G CONNI Perspective

Strinati, Emilio Calvanese; Haustein, Thomas; Maman, Mickael; Keusgen, Wilhelm; Wittig, Sven; Schmieder, Mathis; Barbarossa, Sergio; Merluzzi, Mattia; Klessig, Henrik; Giust, Fabio; Ronzani, Daniele; Liang, Shuo-Peng; Luo, Jack Shi-Jie; Chien, Cheng-Yi; Huang, Jiun-Cheng; Huang, Jian-Jia; Wang, Tzu-Ya

doi:10.1109/gcwkshps50303.2020.9367460

Cited by 18 publications

(9 citation statements)

References 7 publications

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“…6G targets also services, such as industrial automation, autonomous system, and massive networks of sensors, in which machines, and not humans, are the endpoints. These communicate-and-compute services will require new stringent requirements in terms of latency and its jitter, in order to ensure a seemingly deterministic performance of the network [25]. Furthermore, extremely high reliability will be required to improve performance not only at the physical to networking layer but also on inference-based intelligent mechanisms supporting them.…”

Section: G Use Cases and Kpismentioning

confidence: 99%

“…Some identified use cases, such as Industrial IoT or virtual reality, already impose new KPIs requirements such as stringent latency bounds, packet delivery jitter, reliability or achievable throughput, but also regarding the systems dependability, i.e. the ability to make guarantees for a network deterministic behavior [25]. An example of application is remotely controlled high-precision manufacturing, requiring jitter delays in the order of a microsecond [24].…”

Section: G Use Cases and Kpismentioning

confidence: 99%

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6G networks: Beyond Shannon towards semantic and goal-oriented communications

2021

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The goal of this paper is to promote the idea that including semantic and goal-oriented aspects in future 6G networks can produce a significant leap forward in terms of system effectiveness and sustainability. Semantic communication goes beyond the common Shannon paradigm of guaranteeing the correct reception of each single transmitted bit, irrespective of the meaning conveyed by the transmitted bits. The idea is that, whenever communication occurs to convey meaning or to accomplish a goal, what really matters is the impact that the received bits have on the interpretation of the meaning intended by the transmitter or on the accomplishment of a common goal. Focusing on semantic and goal-oriented aspects, and possibly combining them, helps to identify the relevant information, i.e. the information strictly necessary to recover the meaning intended by the transmitter or to accomplish a goal. Combining knowledge representation and reasoning tools with machine learning algorithms paves the way to build semantic learning strategies enabling current machine learning algorithms to achieve better interpretation capabilities and contrast adversarial attacks. 6G semantic networks can bring semantic learning mechanisms at the edge of the network and, at the same time, semantic learning can help 6G networks to improve their efficiency and sustainability.

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Section: G Use Cases and Kpismentioning

confidence: 99%

Section: G Use Cases and Kpismentioning

confidence: 99%

6G networks: Beyond Shannon towards semantic and goal-oriented communications

2021

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“…A significant part of automated and linked driving is the new communications standard which is a vital requirement for the intelligent factory of the future. Thus, 5G has become a competitive element (Strinati et al , 2020; Samdanis and Taleb, 2020).…”

Section: G For the Effective Implementation Of Industry 40mentioning

confidence: 99%

Progressive schema of 5G for Industry 4.0: features, enablers, and services

Javaid

Haleem

Rab

et al. 2022

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Purpose The development of new communication technology such as 5G is now a solid choice for Industry 4.0. 5G in the fifth generation replaces the presently used mobile telecommunications networks. In every sector of modern life, this technology is designed to resolve the issue of the enormous rise in daily gadgets. 5G allows rapid data transfer and significantly improves the Internet of Things (IoT), which contains billions of devices. The purpose of this paper is to study the potential applications of 5G for Industry 4.0. Design/methodology/approach Relevant research publications from Scopus, Web of Science and Google Scholar were identified to accomplish the objectives of this paper. 5G for Industry 4.0 enables crucial communications such as wireless management of machines and robotics to unleash Industry 4.0’s full potential, including the considerable proliferation of IoT devices in 5G. This technology enhances quality control, increasing inspections that rely on real-time analysis for rapid and early detection. Findings In Industry 4.0, 5G technology provides high speed and flexibility connectivity which helps to enhance the entire manufacturing system. This paper briefs about 5G and different network technologies used in 5G. Advancements, associated features and specialties, and significant enablers of 5G for Industry 4.0 are discussed. Finally, the paper identifies and discusses eighteen 5G applications for Industry 4.0. 5 G-enabled robots are used in manufacturing to carry out extensive work to enhance connectivity. Originality/value 5G is the next-generation communication technology, allowing numerous examples of inventive usage, including Industry 4.0. In line with its long-term vision of digitisation, 5G benefit the whole value chain, including consumers and businesses.

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“…This work was supported by the European Union H2020 / Taiwan Project 5G CONNI [8] under grant n.861459…”

Section: Fundingmentioning

confidence: 99%

“…In this paper, we present the vision and first results of the 5G CONNI joint Europe-Taiwan collaborative H2020 project [8] . Its activities revolve around the use of non-public 5G networks in Industry 4.0 applications, ultimately aiming at deploying a 5G end-to-end testing system for key enabling technologies ranging from 5G Core, MEC and 5G Radio Access Network (RAN) to the industrial use cases.…”

Section: Introductionmentioning

confidence: 99%

Beyond Private 5G Networks: Applications, Architectures, Operator Models and Technological Enablers

Maman

Strinati

Dinh

et al. 2021

Preprint

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Private networks will play a key role in 5G and beyond to enable smart factories with the required better deployment, operation and flexible usage of available resource and infrastructure. 5G private networks will offer a lean and agile solution to effectively deploy and operate services with stringent and heterogeneous constraints in terms of reliability, latency, re-configurability and re-deployment of resources as well as issues related to governance and ownership of 5G components, and elements. In this paper we present a novel approach to operator models, specifically targeting 5G and beyond private networks. We apply the proposed operator models to different network architecture options and to a selection of relevant use cases offering mixed private-public network operator governance and ownership. Moreover, several key enabling technologies have been identified for 5G private networks. Before the deployment, stakeholders should consider spectrum allocation and on-site channel measurements in order to fully understand the propagation characteristic of a given environment and to set up end-to-end system parameters. During the deployment, a monitoring tools will support to validate the deployment and to make sure that the end-to-end system meet the target KPI. Finally, some optimization can be made individually for service placement, network slicing, network orchestration or jointly at RAN, MEC or core network level.

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Beyond 5G Private Networks: the 5G CONNI Perspective

Cited by 18 publications

References 7 publications

6G networks: Beyond Shannon towards semantic and goal-oriented communications

6G networks: Beyond Shannon towards semantic and goal-oriented communications

Progressive schema of 5G for Industry 4.0: features, enablers, and services

Beyond Private 5G Networks: Applications, Architectures, Operator Models and Technological Enablers

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