scholarly journals Factory 5G: A Review of Industrial-Centric Features and Deployment Options

2021 ◽  
Author(s):  
Aamir Mahmood ◽  
Sarder Fakhrul Abedin ◽  
Thilo Sauter ◽  
Mikael Gidlund ◽  
Krister Landernäs
Keyword(s):  
Communication Networks ◽  
Manufacturing Industry ◽  
New Technologies ◽  
Solution Space ◽  
Performance Standards ◽  
Core Networks ◽  
Fine Grained ◽  
Fifth Generation ◽  
Industrial Internet ◽  
Wide Scale

<p>Fine-grained and wide-scale connectivity is a precondition to fully digitalize the manufacturing industry. Driven by this need, new technologies such as time-sensitive networking (TSN), fifth-generation (5G) wireless networks, and industrial Internet-of-things (IIoT) are being applied to industrial communication networks to reach the desired connectivity spectrum. With TSN emerging as a wired networking solution, converging information technology (IT) and operational technology (OT) data streams, 5G is upscaling its access and core networks to function as an independent or a transparent TSN carrier in demanding OT use-cases. In this article, we discuss the drivers for future industrial wireless systems and review the role of 5G and its industrial-centric evolution towards meeting the strict performance standards of factories. We also elaborate on the 5G deployment options, including frequency spectrum allocation and private networks, to help the factory owners discern various dimensions of solution space and concerns to integrate 5G in industrial networks.</p><br>

scholarly journals Factory 5G: A Review of Industrial-Centric Features and Deployment Options

2021 ◽  
Author(s):  
Aamir Mahmood ◽  
Sarder Fakhrul Abedin ◽  
Thilo Sauter ◽  
Mikael Gidlund ◽  
Krister Landernäs
Keyword(s):  
Communication Networks ◽  
Manufacturing Industry ◽  
New Technologies ◽  
Solution Space ◽  
Performance Standards ◽  
Core Networks ◽  
Fine Grained ◽  
Fifth Generation ◽  
Industrial Internet ◽  
Wide Scale

<p>Fine-grained and wide-scale connectivity is a precondition to fully digitalize the manufacturing industry. Driven by this need, new technologies such as time-sensitive networking (TSN), fifth-generation (5G) wireless networks, and industrial Internet-of-things (IIoT) are being applied to industrial communication networks to reach the desired connectivity spectrum. With TSN emerging as a wired networking solution, converging information technology (IT) and operational technology (OT) data streams, 5G is upscaling its access and core networks to function as an independent or a transparent TSN carrier in demanding OT use-cases. In this article, we discuss the drivers for future industrial wireless systems and review the role of 5G and its industrial-centric evolution towards meeting the strict performance standards of factories. We also elaborate on the 5G deployment options, including frequency spectrum allocation and private networks, to help the factory owners discern various dimensions of solution space and concerns to integrate 5G in industrial networks.</p><br>

scholarly journals SURVEY ON ARTIFICIAL INTELLIGENCE TECHNIQUES IN 5G NETWORKS

Telecom IT ◽  
2020 ◽  
Vol 8 (1) ◽  
pp. 1-10
Author(s):  
A. Abdellah ◽  
A. Koucheryavy
Keyword(s):  
Artificial Intelligence ◽  
Communication Networks ◽  
System Analysis ◽  
New Technologies ◽  
Telecommunication Networks ◽  
Practical Significance ◽  
Fifth Generation ◽  
Telecommunication Systems ◽  
Order Of Magnitude ◽  
Education Process

Research subject. Fifth-generation telecommunication networks are currently the determining direction of telecommunications development as a whole. At the same time, the complexity of the processes of functioning of fifth-generation telecommunication networks increases by an order of magnitude compared to existing networks. All this requires the use of new technologies, including artificial intelligence, to ensure the stable functioning of telecommunication networks. Method. System analysis. Core results. The scientific tasks for the fifth generation communication networks, in which the use of artificial intelligence seems appropriate, including machine and deep learning, are identified. Practical significance. The results of the work can be useful in the education process in the field of networks and telecommunication systems, as well as for setting new scientific tasks for PhD students.

Technological Change in Turkish Manufacturing Industry: The Case of Gaziantep City

2017 ◽  
Vol 6 (1) ◽  
pp. 77
Author(s):  
Mehmet Ragıp KALELİOGLU
Keyword(s):  
Technological Change ◽  
Global Economy ◽  
Manufacturing Industry ◽  
New Technologies ◽  
Work Force ◽  
Technological Transformation ◽  
Technological Infrastructure ◽  
Technological Level ◽  
Considerable Work ◽  
Key Indicators

:Ensuring competition in global economy, the production of high value products within the country and the reduction of current budget deficit; in other words, increasing the output of industries manufacturing intermediate goods and end products, which have high import dependency, are major targets of Turkey. The state of technological infrastructure of manufacturing industry in the country as well as the process of change that the industry undergoes are essential for the realization of these targets. New technologies play an important role in the competitiveness and economic development of cities, region and the country in the international market. In particular, the use of new technologies in manufacturing industry and companies’ capacity for innovation are prerequisites for businesses to enter a tougher competition in the global economy as well as for cities and countries to persevere on the larger scale. In this respect, the main purpose of this study is to examine the technological transformation of the manufacturing industry in Gaziantep, which is positioned in the top five among Turkey's exports and employs a considerable work force, in comparison to the technological change experienced by the manufacturing industry in Turkey. In the study, the technological level of manufacturing industry in Turkey and the technological change process of manufacturing industry in Gaziantep are presented between 2009-2016 with key indicators. The findings of this study reveal that the current level of technology the city of Gaziantep manufacturing industry has had is far behind the level Turkish manufacturing industry has reached.

Artificial Intelligence as a Technological Innovation to Accelerate Economic Development

2019 ◽  
Vol 12 (3) ◽  
pp. 125-133
Author(s):  
S. V. Shchurina ◽  
A. S. Danilov
Keyword(s):  
Artificial Intelligence ◽  
Economic Development ◽  
Technological Innovation ◽  
Manufacturing Industry ◽  
New Technologies ◽  
Retail Trade ◽  
High Tech ◽  
Industrial Complex ◽  
Technological Gap ◽  
The Government

The subject of the research is the introduction of artificial intelligence as a technological innovation into the Russian economic development. The relevance of the problem is due to the fact that the Russian market of artificial intelligence is still in the infancy and the necessity to bridge the current technological gap between Russia and the leading economies of the world is coming to the forefront. The financial sector, the manufacturing industry and the retail trade are the drivers of the artificial intelligence development. However, company managers in Russia are not prepared for the practical application of expensive artificial intelligence technologies. Under these circumstances, the challenge is to develop measures to support high-tech projects of small and medium-sized businesses, given that the technological innovation considered can accelerate the development of the Russian economy in the energy sector fully or partially controlled by the government as well as in the military-industrial complex and the judicial system.The purposes of the research were to examine the current state of technological innovations in the field of artificial intelligence in the leading countries and Russia and develop proposals for improving the AI application in the Russian practices.The paper concludes that the artificial intelligence is a breakthrough technology with a great application potential. Active promotion of the artificial intelligence in companies significantly increases their efficiency, competitiveness, develops industry markets, stimulates introduction of new technologies, improves product quality and scales up manufacturing. In general, the artificial intelligence gives a new impetus to the development of Russia and facilitates its entry into the five largest world’s economies.

scholarly journals Polarization-transparent silicon photonic add-drop multiplexer with wideband hitless tuneability

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Francesco Morichetti ◽  
Maziyar Milanizadeh ◽  
Matteo Petrini ◽  
Francesco Zanetto ◽  
Giorgio Ferrari ◽  
...  
Keyword(s):  
Optical Networks ◽  
Communication Networks ◽  
Bandwidth Allocation ◽  
Core Networks ◽  
Reconfigurable Devices ◽  
Silicon Photonic ◽  
Transmission Quality ◽  
And Control ◽  
Integrated Device ◽  
Dynamic Bandwidth

AbstractFlexible optical networks require reconfigurable devices with operation on a wavelength range of several tens of nanometers, hitless tuneability (i.e. transparency to other channels during reconfiguration), and polarization independence. All these requirements have not been achieved yet in a single photonic integrated device and this is the reason why the potential of integrated photonics is still largely unexploited in the nodes of optical communication networks. Here we report on a fully-reconfigurable add-drop silicon photonic filter, which can be tuned well beyond the extended C-band (almost 100 nm) in a complete hitless (>35 dB channel isolation) and polarization transparent (1.2 dB polarization dependent loss) way. This achievement is the result of blended strategies applied to the design, calibration, tuning and control of the device. Transmission quality assessment on dual polarization 100 Gbit/s (QPSK) and 200 Gbit/s (16-QAM) signals demonstrates the suitability for dynamic bandwidth allocation in core networks, backhaul networks, intra- and inter-datacenter interconnects.

scholarly journals Measuring Key Quality Indicators in Cloud Gaming: Framework and Assessment Over Wireless Networks

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1387
Author(s):  
Oswaldo Sebastian Peñaherrera-Pulla ◽  
Carlos Baena ◽  
Sergio Fortes ◽  
Eduardo Baena ◽  
Raquel Barco
Keyword(s):  
Communication Networks ◽  
Mobile Networks ◽  
Video Game ◽  
Know How ◽  
Fifth Generation ◽  
New Generation ◽  
Graphics Rendering ◽  
The Impact

Cloud Gaming is a cutting-edge paradigm in the video game provision where the graphics rendering and logic are computed in the cloud. This allows a user’s thin client systems with much more limited capabilities to offer a comparable experience with traditional local and online gaming but using reduced hardware requirements. In contrast, this approach stresses the communication networks between the client and the cloud. In this context, it is necessary to know how to configure the network in order to provide service with the best quality. To that end, the present work defines a novel framework for Cloud Gaming performance evaluation. This system is implemented in a real testbed and evaluates the Cloud Gaming approach for different transport networks (Ethernet, WiFi, and LTE (Long Term Evolution)) and scenarios, automating the acquisition of the gaming metrics. From this, the impact on the overall gaming experience is analyzed identifying the main parameters involved in its performance. Hence, the future lines for Cloud Gaming QoE-based (Quality of Experience) optimization are established, this way being of configuration, a trendy paradigm in the new-generation networks, such as 4G and 5G (Fourth and Fifth Generation of Mobile Networks).

Industrial internet of things for smart manufacturing applications using hierarchical trustful resource assignment

Work ◽  
2021 ◽  
pp. 1-11
Author(s):  
Duan Pingli ◽  
Bala Anand Muthu ◽  
Seifedine Nimer Kadry
Keyword(s):  
Internet Of Things ◽  
Manufacturing Industry ◽  
Production Systems ◽  
Intelligent Manufacturing ◽  
Smart Manufacturing ◽  
The Internet ◽  
Resource Assignment ◽  
Industrial Internet Of Things ◽  
Assignment Method ◽  
Industrial Internet

BACKGROUND: The manufacturing industry undergoes a new age, with significant changes taking place on several fronts. Companies devoted to digital transformation take their future plants inspired by the Internet of Things (IoT). The IoT is a worldwide network of interrelated physical devices, which is an essential component of the internet, including sensors, actuators, smart apps, computers, mechanical machines, and people. The effective allocation of the computing resources and the carrier is critical in the industrial internet of Things (IIoT) for smart production systems. Indeed, the existing assignment method in the smart production system cannot guarantee that resources meet the inherently complex and volatile requirements of the user are timely. Many research results on resource allocations in auction formats which have been implemented to consider the demand and real-time supply for smart development resources, but safety privacy and trust estimation issues related to these outcomes are not actively discussed. OBJECTIVES: The paper proposes a Hierarchical Trustful Resource Assignment (HTRA) and Trust Computing Algorithm (TCA) based on Vickrey Clarke-Groves (VGCs) in the computer carriers necessary resources to communicate wirelessly among IIoT devices and gateways, and the allocation of CPU resources for processing information at the CPC. RESULTS: Finally, experimental findings demonstrate that when the IIoT equipment and gateways are valid, the utilities of each participant are improved. CONCLUSION: This is an easy and powerful method to guarantee that intelligent manufacturing components genuinely work for their purposes, which want to integrate each element into a system without interactions with each other.

INTELLIGENT OPTIMIZATION SYSTEM FORMULATED ON INDUSTRIAL INTERNET PLATFORM

2021 ◽  
Vol 71 (10) ◽  
pp. 75-79
Author(s):  
Sabuhi Farasat Rahimli ◽  
Keyword(s):  
Manufacturing Industry ◽  
Industrial Revolution ◽  
Data Gathering ◽  
Intelligent Optimization ◽  
Industrial Economy ◽  
Optimization System ◽  
Industrial Enterprises ◽  
Huge Data ◽  
Industrial Internet ◽  
Internet Platform

The opinion of "Industrial Internet" was first suggested by General Electric. As a modern infrastructure of the 4 -th industrial revolution, Industrial Internet has become a substantial mechanism to actualiza digital revision of industrial economy. The Industrial Internet platform is a system formulated on huge data gathering, accumulation and analysis, which is based to the necessity of digitalization, networking and philosophizing of manufacturing industry. In order to settle the problems of actual rearward industrial data, improve the capacity of data acquisition and deal with the industrial interconnection platform, the industrial intelligent optimization system generates the product services needed by industrial enterprises and realizes the object of industrial optimization. Key words: Industrial Internet; industrial intelligence; industrial mechanism

Without IPv6, there is no digital transformation for healthcare

2021 ◽  
pp. 1-4
Author(s):  
Rosa M. Delgado
Keyword(s):  
New Technologies ◽  
Internet Protocol ◽  
Healthcare Services ◽  
Sustainable Growth ◽  
The Internet ◽  
Healthcare Industry ◽  
Access To Health Services ◽  
Fifth Generation ◽  
Access To Health ◽  
Close Relationship

BACKGROUND: Originally, digital healthcare was created to support underserved and rural patients gain access to health services. Phones, devices, and computers need IP (Internet Protocol) addresses to connect to the Internet. OBJECTIVE: This paper aims to study the close relationship between the Internet and the transformation of healthcare services. METHODS: The current protocol in use is the Internet protocol version 4 (IPv4), whose number of Internet addresses has been globally exhausted. The Internet Protocol version 6 (IPv6) with 47 octillion unique addresses for every person on the planet has become the only option for sustainable growth and innovation. However, most of the worldwide industry is still in IPv4. In the era of Artificial Intelligence, Internet of Things, Fifth Generation of Cellular Technology (5G), and Blockchain, there will be a massive need of IP addresses. For 2025, experts predict over 1.5 billion new IPv6 users which will continue to grow exponentially. RESULTS: Nations need to tackle the increasing industry requirements for IPv6 and telehealth adoption to benefit from the full IPv6 connectivity which is the key strategic advantage for the healthcare industry. CONCLUSION: The strategic potential that telehealth brings to the healthcare industry is widely appreciated. However, what are the implications of its expansion around the world? How can we prioritize the poorest and most vulnerable in society without new technologies?

A Fine-Grained Access Control Model for Smart Grid

2014 ◽  
Vol 513-517 ◽  
pp. 772-776
Author(s):  
Chen Wang ◽  
Hong Ai ◽  
Lie Wu ◽  
Yun Yang
Keyword(s):  
Access Control ◽  
Smart Grid ◽  
Power Systems ◽  
Communication Networks ◽  
High Speed ◽  
Data Communication ◽  
Control Model ◽  
Electric Power System ◽  
Access Control Model ◽  
Fine Grained

The smart grid that the next-generation electric power system is studied intensively as a promising solution for energy crisis. One important feature of the smart grid is the integration of high-speed, reliable and secure data communication networks to manage the complex power systems effectively and intelligently. The goal of smart grid is to achieve the security of operation, economic efficient and environmental friendly. To achieve this goal, we proposed a fine-grained access control model for smart grid. In order to improve the security of smart grid, an access-trust-degree algorithm is proposed to evaluate the reliability of the user who want to access to the smart grid.

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