Academic literature on the topic 'Real-time 5G implementation'
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Journal articles on the topic "Real-time 5G implementation"
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Alashqar, Anas, Jawdat Alkasassbeh, Raed Mesleh, and Aws Al-Qaisi. "SDR implementation and real-time performance evaluation of 5G channel coding techniques." AEU - International Journal of Electronics and Communications 170 (October 2023): 154852. http://dx.doi.org/10.1016/j.aeue.2023.154852.
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Son, Daehyeon, Youngshin Park, Bonam Kim, and Ilsun You. "A Study on the Implementation of a Network Function for Real-time False Base Station Detection for the Next Generation Mobile Communication Environment." Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications 15, no. 1 (March 29, 2024): 184–201. http://dx.doi.org/10.58346/jowua.2024.i1.013.
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The threat posed by false base stations remains pertinent across the 4G, 5G, and forthcoming 6G generations of mobile communication. In response, this paper introduces a real-time detection method for false base stations employing two approaches: machine learning and specification-based. Utilizing the UERANSIM open 5G RAN (Radio-Access Network) test platform, we assess the feasibility and practicality of applying these techniques within a 5G network environment. Emulating real-world 5G conditions, we implement a functional split in the 5G base station and deploy the False Base Station Detection Function (FDF) as a 5G NF (Network Function) within the CU (Central Unit). This setup enables real-time detection seamlessly integrated into the network. Experimental results indicate that specification-based detection outperforms machine learning, achieving a detection accuracy of 99.6% compared to 96.75% for the highest-performing machine learning model XGBoost. Furthermore, specification-based detection demonstrates superior efficiency, with CPU usage of 1.2% and memory usage of 16.12MB, compared to 1.6% CPU usage and 182.4MB memory usage for machine learning on average. Consequently, the implementation of specification-based detection using the proposed method emerges as the most effective technique in the 5G environment.
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Bocu, Razvan, and Maksim Iavich. "Real-Time Intrusion Detection and Prevention System for 5G and beyond Software-Defined Networks." Symmetry 15, no. 1 (December 31, 2022): 110. http://dx.doi.org/10.3390/sym15010110.
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The philosophy of the IoT world is becoming important for a projected, always-connected world. The 5G networks will significantly improve the value of 4G networks in the day-to-day world, making them fundamental to the next-generation IoT device networks. This article presents the current advances in the improvement of the standards, which simulate 5G networks. This article evaluates the experience that the authors gained when implementing Vodafone Romania 5G network services, illustrates the experience gained in context by analyzing relevant peer-to-peer work and used technologies, and outlines the relevant research areas and challenges that are likely to affect the design and implementation of large 5G data networks. This paper presents a machine learning-based real-time intrusion detection system with the corresponding intrusion prevention system. The convolutional neural network (CNN) is used to train the model. The system was evaluated in the context of the 5G data network. The smart intrusion detection system (IDS) takes the creation of software-defined networks into account. It uses models based on artificial intelligence. The system is capable to reveal not previously detected intrusions using software components based on machine learning, using the convolutional neural network. The intrusion prevention system (IPS) blocks the malicious traffic. This system was evaluated, and the results confirmed that it provides higher efficiencies compared to less overhead-like approaches, allowing for real-time deployment in 5G networks. The offered system can be used for symmetric and asymmetric communication scenarios.
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Yoo, Sang Guun. "5G-VRSec: Secure Video Reporting Service in 5G Enabled Vehicular Networks." Wireless Communications and Mobile Computing 2017 (2017): 1–22. http://dx.doi.org/10.1155/2017/7256307.
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Despite an imminent arrival of the 5G communication technology, there are only a few research works done using such technology in the field of vehicular networks. One of the pioneers in proposing a service for 5G enabled vehicular networks is the Eiza-Ni-Shi Scheme. In such scheme, the authors present an innovative system model for 5G vehicular networks that enables a secure real-time video reporting service with privacy awareness. Even though the proposed service is very important since it aims to improve the road safety, it cannot be considered secure enough. This work found that the scheme has serious security flaws and functionality limitations. First, it is vulnerable to Department of Motor Vehicles and Law Enforcement Agency impersonation attacks, it allows forged video upload, there is no separation of responsibilities between Law Enforcement Agency and trusted authority, and it is susceptible to privileged insider attack. In addition, it does not contemplate the management of multiple geographic/administrative regions (multiple trusted authorities) which is important in real implementations. In this situation, the present work proposes an extended scheme that eliminates the identified security flaws and implements new features that make the implementation across several geographic/administrative regions possible.
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Koumaras, Harilaos, George Makropoulos, Michael Batistatos, Stavros Kolometsos, Anastasios Gogos, George Xilouris, Athanasios Sarlas, and Michail-Alexandros Kourtis. "5G-Enabled UAVs with Command and Control Software Component at the Edge for Supporting Energy Efficient Opportunistic Networks." Energies 14, no. 5 (March 8, 2021): 1480. http://dx.doi.org/10.3390/en14051480.
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Recently Unmanned Aerial Vehicles (UAVs) have evolved considerably towards real world applications, going beyond entertaining activities and use. With the advent of Fifth Generation (5G) cellular networks and the number of UAVs to be increased significantly, it is created the opportunity for UAVs to participate in the realisation of 5G opportunistic networks by carrying 5G Base-Stations to under-served areas, allowing the provision of bandwidth demanding services, such as Ultra High Definition (UHD) video streaming, as well as other multimedia services. Among the various improvements that will drive this evolution of UAVs, energy efficiency is considered of primary importance since will prolong the flight time and will extend the mission territory. Although this problem has been studied in the literature as an offline resource optimisation problem, the diverse conditions of a real UAV flight does not allow any of the existing offline optimisation models to be applied in real flight conditions. To this end, this paper discusses the amalgamation of UAVs and 5G cellular networks as an auspicious solution for realising energy efficiency of UAVs by offloading at the edge of the network the Flight Control System (FCS), which will allow the optimisation of the UAV energy resources by processing in real time the flight data that have been collected by onboard sensors. By exploiting the Multi-access Edge Computing (MEC) architectural feature of 5G as a technology enabler for realising this offloading, the paper presents a proof-of-concept implementation of such a 5G-enabled UAV with softwarized FCS component at the edge of the 5G network (i.e., the MEC), allowing by this way the autonomous flight of the UAV over the 5G network by following control commands mandated by the FCS that has been deployed at the MEC. This proof-of-concept 5G-enabled UAV can support the execution of real-time resource optimisation techniques, a step-forward from the currently offline-ones, enabling in the future the execution of energy-efficient and advanced missions.
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Chew, Michael Yit Lin, Evelyn Ai Lin Teo, Kwok Wei Shah, Vishal Kumar, and Ghassan Fahem Hussein. "Evaluating the Roadmap of 5G Technology Implementation for Smart Building and Facilities Management in Singapore." Sustainability 12, no. 24 (December 8, 2020): 10259. http://dx.doi.org/10.3390/su122410259.
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The concepts of smart building (SB) and smart facilities management (SFM) are crucial as they aim to uplift occupants’ living standards through information and communication technology. However, the current network possesses several challenges to SFM, due to low bandwidth, high latency, and inability to connect a high amount of IoT (Internet of things) devices. 5G technology promises high-class network services with low latency, high bandwidth, and network slicing to achieve real-time efficiency. Moreover, 5G promises a more sustainable future as it will play a crucial role in reducing energy consumption and shaping future applications to achieve higher sustainability goals. This paper discusses the current challenges and benefits of implementing 5G in various use cases in SFM applications. Furthermore, this paper highlights the Singapore government rollout plan for 5G implementation and discusses the roadmap of SFM use case development initiatives undertaken by 5G Advanced BIM Lab (Department of Building, National University of Singapore) in alignment with the 5G implementation plan of Singapore. Under these 5G SFM projects, the lab seeks to develop state-of-the-art 5G use cases in collaboration with various industry partners and developed a framework for teaching and training to enhance students’ learning motivation and help mid-career professionals to upskill and upgrade themselves to reap multiple benefits using the 5G network. This article will serve as a benchmark for researchers and industries for future progress and development of SFM systems by leveraging 5G networks for higher sustainability targets and implementing teaching and learning programs to achieve greater organizational excellence.
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Li, Meisong, and Xuanxuan Tian. "Preliminary Exploration on the Application of 5G+VR/AR Scenario in Teaching - Taking the Lesson “Crossing the Currency Town” of Financial Literacy Education as an Example." Science Insights Education Frontiers 15, S1 (March 31, 2023): 11. http://dx.doi.org/10.15354/sief.23.s1.ab011.
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The application of 5G technology in education is a major challenge in creating a new teaching ecosystem. The use of 5G+VR/AR scenarios in teaching is still in the theoretical exploration stage, lacking practical cases for education. This paper discusses the practical thinking of 5G+VR/AR scene intelligent teaching, providing cases of 5G+VR/AR classroom application to promote intelligent teaching in the direction of visualization, intelligence and scenario-based learning. Yizhou Primary School developed a curriculum resource “Crossing the Currency Town” that combines financial literacy teaching with 5G+VR/AR scenarios. The school built a 5G+VR smart cloud classroom based on the 5G network and VR/AR intelligent devices, educational terminals, and network devices to create an immersive and real-time teaching scene.
The implementation of intelligent teaching requires the construction of an intelligent environment through the use of intelligent technology to improve the learners’ classroom experience and realize the interaction and cooperation between teachers, students, and machines. Intelligent equipment can also conduct multiple evaluations and monitor students’ learning effects in real-time, generating accurate analysis reports of the learning situation. The data collected can provide resources for personalized recommendation of intelligent teaching and generate intelligent and personalized learning programs.
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Lytvynenko, Mykhailo, and Nataliia Harmash. "ANALYSIS OF PROMOTION OF 5G TECHNOLOGY IN THE WORLD AND EXPECTATIONS FOR UKRAINE." Information technology and computer engineering 58, no. 3 (December 29, 2023): 94–103. http://dx.doi.org/10.31649/1999-9941-2023-58-3-94-103.
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The article analyzes the promotion, advantages and assessment of the achievements of 5G technology in the world, the available results of the implementation of 5G in various sectors of the economy despite the problems with its rapid development. The growing needs for speed and bandwidth of data transmission, increasing the number of connected devices without loss of communication quality, reducing delays and increasing reliability in conducting remote operations in real time, the development of innovations such as the Internet of Things (IoT), augmented reality ( AR) and virtual reality (VR), autonomous vehicles and the industrial sector, in particular on industrial automation and "smart" factories, the use of high-performance sensors and real-time robotics. The advantages of 5G technology, characterized by high data transfer speed, low support (latency), large network capacity, and improved mobility, are given. Episodes of the use of 5G in the military field in real time are described, to instantly store and reproduce large volumes of video and graphics, smart cities that use 5G to support a large number of sensors and sensors in the city, to implement a variety of services, energy management, public transport monitoring. Considered, the relevance of using the 5G mobile network in Ukraine remains high. The necessary steps in Ukraine from the development of standards, the allocation of frequencies, the creation of infrastructure and the acquisition of the necessary number of devices that support 5G are considered. A forecast of expected results such as infrastructure expansion is provided; access to a wide range of frequencies, including low and high bands; the ability to resist cyber attacks from a wide range of sources; energy efficient; compatible with existing infrastructure and other communication protocols. It was concluded that the introduction of the 5G network as soon as possible will provide an impetus for Ukraine from a technical and economic point of view.
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Oksiyuk, O. G., R. S. Odarchenko, S. Yu Dakov, Yu А. Burmak, and Т. V. Fediura. "5G NETWORK STANDARDS AND TECHNOLOGIES AND THE POSSIBILITIES OF ITS IMPLEMENTATION." Collection of scientific works of the Military Institute of Kyiv National Taras Shevchenko University, no. 67 (2020): 104–19. http://dx.doi.org/10.17721/2519-481x/2020/67-11.
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The paper investigates the architecture of the 5G network and proposed a variant of the SCOM based parameter monitoring system. You can use this system to collect and analyze network performance information, detect deviations, and notify them for timely removal. Technologies were introduced for the use of the fifth generation GPP mobile network of the fifth generation. Analyzed and proposed for implementation. The current capabilities of the 5th generation network and the technologies for their implementation were also explored. This paper analyzes and provides recommendations for the implementation of the following servers. 5G networks make it possible to significantly increase data rates through various radio access technologies (RATs), and through the use of new 5G NR (New Radio) radio spectrum. Smart Home and Smart Building are available in a variety of different Internet of Things (IoT) services: video surveillance, home automation and control, security management, and more. Virtual Reality (VR) service creates the illusion of moving a person to another world, affecting the sense organs, especially the sight (VR-glasses). Augmented Reality (Augmented Reality) Augmented Reality service combines a real environment with virtual objects. These services are intended not only for entertainment but also for science. The 5G network, along with IoT Internet of Things technology, with the help of Industrial IIoT (Industrial Internet of Things) sensors, as well as AI (Artificial Intelligence), can significantly increase the degree of automation of production. This gives the opportunity in real time to analyze large amounts of diverse data (Big Data), both on the basis of insights, and using machine and deep learning (Machine learning, Deep learning). These may include, for example, e-Health, Mission Critical Communication, Tactile Internet, and others. Unmanned transport may be used as part of the Smart City service, but may exist separately. Also on the 5G platform it is possible to implement ADAS (Advanced Driver-Assistance Systems) driver assistance systems.
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Pascual Campo, Pablo, Vesa Lampu, Alexandre Meirhaeghe, Jani Boutellier, Lauri Anttila, and Mikko Valkama. "Digital Predistortion for 5G Small Cell: GPU Implementation and RF Measurements." Journal of Signal Processing Systems 92, no. 5 (December 21, 2019): 475–86. http://dx.doi.org/10.1007/s11265-019-01502-4.
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AbstractIn this paper, we present a high data rate implementation of a digital predistortion (DPD) algorithm on a modern mobile multicore CPU containing an on-chip GPU. The proposed implementation is capable of running in real-time, thanks to the execution of the predistortion stage inside the GPU, and the execution of the learning stage on a separate CPU core. This configuration, combined with the low complexity DPD design, allows for more than 400 Msamples/s sample rates. This is sufficient for satisfying 5G new radio (NR) base station radio transmission specifications in the sub-6 GHz bands, where signal bandwidths up to 100 MHz are specified. The linearization performance is validated with RF measurements on two base station power amplifiers at 3.7 GHz, showing that the 5G NR downlink emission requirements are satisfied.
Dissertations / Theses on the topic "Real-time 5G implementation"
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Wang, Tsu-Han. "Real-time Software Architectures and Performance Evaluation Methods for 5G Radio Systems." Electronic Thesis or Diss., Sorbonne université, 2022. https://accesdistant.sorbonne-universite.fr/login?url=https://theses-intra.sorbonne-universite.fr/2022SORUS362.pdf.
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La thèse porte sur les architectures temps réel pour la radio-logicielle 5G. Afin de répondre aux exigences de performances de la 5G, une accélération des procédés critiques combinée à des méthodes d’ordonnancement de processus temps réels sont nécessaires. Dans les systèmes embarqués 5G, l'accélération équivaut à une combinaison judicieuse d'unités matérielles supplémentaires pour les fonctions les plus coûteuses en termes de calcul avec des composants logiciels pour des procédures de contrôle complexe ainsi que l’arithmétique simples. Des solutions entièrement logicielles apparaissent également pour certaines applications, notamment dans l'écosystème dit Open Radio-Access Network (openRAN). Les contributions de cette thèse résident dans des méthodes d'accélération purement logicielles et de contrôle en temps réel d'interfaces dit « fronthaul » à faible latence. Étant donné que la 5G a des exigences de latence strictes et prend en charge le trafic de données à très haut débit, les méthodes d’ordonnancement du traitement en bande de base doivent être adaptées aux spécificités de l'interface radio. Plus précisément, nous proposons une décomposition fonctionnelle de l'interface-air 5G qui se prête à des implémentations logicielles multicœurs ciblant des serveurs haut de gamme exploitant l'accélération de données multiples à instruction unique (SIMD). De plus, nous fournissons quelques pistes pour le traitement multithread via le pipelining et l'utilisation de pools de threads. Nous mettons en évidence les méthodes et la caractérisation de leur performances qui ont été exploitées lors du développement de l'implémentation OpenAirInterface 5GThe thesis deals with 5G real-time Software Defined Radio architectures. In order to match 5G performance requirements, computational acceleration combined with real-time process scheduling methods are required. In 5G embedded systems acceleration amounts to a judicious combination additional hardware units for the most computationally costly functions with software for simpler arithmetic and complex control procedures. Fully software-based solutions are also appearing for certain applications, in particular in the so-called Open Radio-Access Network (openRAN) ecosystem. The contributions of this thesis lie in methods for purely software-based acceleration and real-time control of low-latency fronthaul interfaces. Since 5G has stringent latency requirements and support for very high-speed data traffic, methods for scheduling baseband processing need to be tailored to the specifics of the air-interface. Specifically, we propose a functional decomposition of the 5G air interface which is amenable to multi-core software implementations targeting high-end servers exploiting single-instruction multiple-data (SIMD) acceleration. Moreover, we provide some avenues for multi-threaded processing through pipelining and the use of thread pools. We highlight the methods and their performance evaluation that have been exploited during the development of the OpenAirInterface 5G implementation
Book chapters on the topic "Real-time 5G implementation"
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Shafik, Wasswa, and Kassim Kalinaki. "Impact of 5G Security on Smart Cities' Internet of Things Implementation." In Digital Technologies in Modeling and Management, 210–29. IGI Global, 2023. http://dx.doi.org/10.4018/978-1-6684-9576-6.ch010.
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Smart cities are imperative in terms of smart buildings, transportation, parking, healthcare, agriculture, traffic systems, and public safety aided by the fifth generation (5G) computation standards. They are entirely capable of controlling real-time devices and delivering relevant smart information to the citizens. However, different architectural stages experience privacy and security concerns. Therefore, in this survey, an internet of things (IoT) based architecture is proposed, showing the critical layers that are key to ensure secure smart IoT implementation. The study further covers the recent approaches to security applications for information centric SCs. 5G security solutions have been highlighted in SCs' settings and proposed. Comparably, a comprehensive SC current 5G security and numerous open security concerns are demonstrated. Lastly, offer potential research directions and motivations mainly in academia and industry, outlining these concerns that need to be considered to enhance smart daily operations.
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Pasupuleti, Murali Krishna. "Advancing Real-Time Intelligence with Edge AI." In Frontier Computing: Harnessing Edge AI for Real-Time Intelligence, 94–110. National Education Services, 2024. http://dx.doi.org/10.62311/nesx/97852.
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Abstract: This chapter explores into the transformative world of Edge AI, a technological innovation that brings the power of artificial intelligence to the edge of the network, enabling real-time intelligence across various sectors. By processing data locally on devices, Edge AI drastically reduces latency, optimizes bandwidth usage, and enhances privacy and security, marking a significant shift from traditional cloud-based data analysis. The exploration begins with an overview of Edge AI, including its definition, components, and the key technologies that facilitate its implementation. It then highlights the critical need for real-time intelligence in applications such as autonomous vehicles, healthcare monitoring, and smart manufacturing, illustrating the limitations of cloud computing in meeting these demands. The advantages of Edge AI, including latency reduction, bandwidth optimization, and enhanced privacy and security, are discussed in detail. The chapter further examines the challenges and solutions in implementing Edge AI, from infrastructure and deployment considerations to navigating power consumption and environmental constraints. Through case studies in autonomous vehicles, healthcare, and manufacturing, the practical applications and transformative potential of Edge AI are showcased. The chapter concludes by looking at the future directions of Edge AI, emphasizing the importance of continuous innovation and ethical considerations in its advancement. This comprehensive overview of Edge AI illuminates its role in driving real-time intelligence and underscores its potential to revolutionize how we interact with technology in our daily lives and professional environments. Keywords/Index Terms: Edge AI,Real-Time Intelligence,Autonomous Vehicles,Healthcare Monitoring,Smart Manufacturing,Latency Reduction,Bandwidth Optimization,Data Privacy,Security in Edge Computing,AI Algorithms,5G Technology,Power Consumption,Environmental Constraints,Ethical Considerations in AI and Future of Edge AI.
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L., Divya, and Pradeep Kumar T. S. "A Review of Various Modeling Software for VANETs." In Advances in Wireless Technologies and Telecommunication, 94–108. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-3610-3.ch005.
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There is great demand for VANETs in recent times. VANETs enable vehicular communication with the advent of latest trends in communication like 5G technology, software-defined networks, and fog and edge computing. Novel applications are evolving in recent times on VANETs with the proliferation of internet of things. Real test bed implementation is not always feasible with various limitations like expenditure and manpower and requires more time to experiment with the new facets of VANETs. Hence, the researchers should be aware of the variety of simulation tools that are capable of running VANET simulations. Simulation is a powerful tool in developing any critical/complex system that constitutes minimum cost and effort. The simulation tools of VANETs should support multiple mobility models, real-world communication protocols, and traffic modeling scenarios. This chapter gives a clear view on available tools and their characteristics on VANETs for research purposes.
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Jiang, Hao, and Ahmed Bouabdallah. "A JSON-Based Fast and Expressive Access Control Policy Framework." In Advances in Data Mining and Database Management, 70–91. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-8446-9.ch004.
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Along with the rapid development of ICT technologies, new areas like Industry 4.0, IoT, and 5G have emerged and brought out the need for protecting shared resources and services under time-critical and energy-constrained scenarios with real-time policy-based access control. To achieve this, the policy language needs to be very expressive but lightweight and efficient. These challenges are investigated and a set of key requirements for such a policy language is identified. JACPoL is accordingly introduced as a descriptive, scalable, and expressive policy language in JSON. JACPoL by design provides a flexible and fine-grained ABAC style (attribute-based access control) while it can be easily tailored to express other access control models. The design and implementation of JACPoL are illustrated together with its evaluation in comparison with other existing policy languages. The result shows that JACPoL can be as expressive as existing ones but more simple, scalable, and efficient. The performance evaluation shows that JACPoL requires much less processing time and memory space than XACML.
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Kommadi, Bhagvan. "AI and ML Applications: 5G and 6G." In 5G and 6G Enhanced Broadband Communications [Working Title]. IntechOpen, 2023. http://dx.doi.org/10.5772/intechopen.106698.
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Applications that existed in 4G will become 10 times faster in 5G and 100 faster in 6G in terms of handling uploads and downloads. The key reason is the communication infrastructure which is going to change in the internet backbone. The devices will be upgraded to 5G and 6G soon. In some countries, it is happening now. This will change how the locational intelligence and real-time streaming applications perform and how they are being used. The scalability and reliability of the AI applications and solutions will improve with 5G and 6G implementations. In this article, 5G and 6G roadmap for the applications is discussed in detail. Issues with 5G and 6G are presented with solutions and how new applications will evolved from 4G to 5G to 6G. Different approaches are discussed to solve the lingering issues in 6G using AI/ML.
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Róka, Rastislav. "Enhanced Simulation Tools for Analyzing Signal Processing Techniques in the Optical Transmission Path." In Handbook of Research on 5G Networks and Advancements in Computing, Electronics, and Electrical Engineering, 337–80. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-6992-4.ch014.
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With emerging applications and needs of ever-increasing bandwidth, it is anticipated that 5G networks with much higher bandwidth present a natural path forward to satisfy these demands. For 5G network operators, it is interesting and profitable to develop valuable broadband optical networks at the same time. Broadband optical networks naturally utilize the optical transmission medium, and for increasing transmission rates of broadband applications and services in 5G networks, it is necessary to characterize and investigate some specific features of advanced signal processing techniques utilized in the optical transmission path. For this case, advanced techniques must also be analyzed and evaluated for real long-distance, metropolitan, and access optical networks as an integral part of 5G networks. In this chapter, enhanced simulation tools for analyzing advanced signal processing techniques in the optical transmission path are presented together with possibilities for their practical implementations in real single-channel and multi-channel optical transmission systems.
Conference papers on the topic "Real-time 5G implementation"
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Inzillo, Vincenzo, Alfonso Ariza Quintana, Floriano De Rango, and Luigi Zampogna. "Design and Implementation of New Planar Massive MIMO Systems for 5G Wireless Networks Extending Omnet++ Simulator." In 2018 IEEE/ACM 22nd International Symposium on Distributed Simulation and Real Time Applications (DS-RT). IEEE, 2018. http://dx.doi.org/10.1109/distra.2018.8601017.
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Mahapatra, Byomakesh, Rahul Kumar, Shailesh Kumar, and Ashok Kumar Turuk. "A real time packet classification and allocation approach for C-RAN implementation in 5G network." In 2018 4th International Conference on Recent Advances in Information Technology (RAIT). IEEE, 2018. http://dx.doi.org/10.1109/rait.2018.8389092.
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Nóvoa, Lucas, Virgínia Tavares, Cleverson Nahum, Silvia Lins, and Aldebaro Klautau. "Middleware implementation for RYU SDN Controller to manage switches in a C-RAN scenario." In Seminário Integrado de Software e Hardware. Sociedade Brasileira de Computação - SBC, 2021. http://dx.doi.org/10.5753/semish.2021.15803.
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With the advent of 5G, more stringent application requirements were imposed to the cellular networks. The adoption of Software Defined Network (SDN) technology in the transport network enables more dynamic network control, suitable for several real-time operations and use cases present in 5G deployments. Implementing testbed for various transport network scenarios is not trivial due to the high costs involved, especially with respect to hardware in more complex network topologies. This work provides a low-cost alternative that facilitates complex transport network topologies implementation in real testbeds. It adopts Mininet software for transport network emulation and implements a middleware that facilitates the control of flows and routes as well as the automatic recognition of any topology. In networking research domain, the implemented middleware contributes to the simplification of switches management in software defined networks scenarios.
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Jalbout, Mohammad Muhab, Ahmed Al Hai, Omar Chammout, Rahma Al-Rahma, Khaleefa Mohamed Al Benali, Saif Al Blooshi, Ahmed El Bagoury, Anurag Dubey, and Ashique Siddique. "Remote Drilling Supervisor – Step Changing Approach Aided by RTOC and 5G Technology." In SPE/IADC Middle East Drilling Technology Conference and Exhibition. SPE, 2023. http://dx.doi.org/10.2118/214530-ms.
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Abstract Digital transformation has been proven to yield commercial success in the oil and gas industry with several reported advantages of value creation and business empowerment. The paper demonstrates the implementation of a breakthrough technology and ideology to steer rig operations in onshore locations in Abu Dhabi, by adopting unified Real Time Operations Center (RTOC) concept. The technology has enabled proactive evaluation of rig operations, integrated different stakeholders in one platform, and supported the decision-making process while providing additional opportunities for young engineers onsite. The unified RTOC technology approach is distinguished by empowering collaboration across functional departments. It enables higher levels of coordination of daily rig operations by converging processed and unprocessed information sources such as Technological Systems, Drilling Data Management Systems, Analytics, and Geomatics. Specifically for this exercise, the approach benefits are maximized by adopting a new concept to supervise rig operations remotely. The young drilling supervisors are settled to work on rig site, while senior drilling supervisors supports them from the office. One senior drilling supervisor can support 3 rigs at a time, covering exactly all major roles and responsibilities as if he/she is available physically onsite. The wells are monitored thoroughly with RTOC's platforms, associated risks are categorized, and several analytics were performed based on real-time data. CCTV integration with 5G technology braced the concept of monitoring the risky areas at the rig site with seamless footage. The CCTV integration was a step transformation for the proof of concept.
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Slyne, Frank, Kevin O’Sullivan, Merim Dzaferagic, Bruce Richardson, Marcin Wrzeszcz, Brendan Ryan, Niall Power, Robin Giller, and Marco Ruffini. "Demonstration of Cooperative Transport Interface using open-source 5G OpenRAN and virtualised PON network." In Optical Fiber Communication Conference. Washington, D.C.: Optica Publishing Group, 2024. http://dx.doi.org/10.1364/ofc.2024.m3z.1.
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We demonstrate a real-time, converged 5G-PON through the Cooperative Transport Interface, synchronising 5G and PON-DBA upstream schedulers. This innovative approach, implemented using 5G and PON open network implementations, significantly enhances network resource allocation, reducing latency.
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Dewangan, Kheelesh Kumar, Vibek Panda, Sunil Ojha, Anjali Shahapure, and Shweta Rajesh Jahagirdar. "Cyber Threats and Its Mitigation to Intelligent Transportation System." In Symposium on International Automotive Technology. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2024. http://dx.doi.org/10.4271/2024-26-0184.
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<div class="section abstract"><div class="htmlview paragraph">With the revolutionary advancements in modern transportation, offering advanced connectivity, automation, and data-driven decision-making has put the intelligent transportation systems (ITS) to a high risk from being exposed to cyber threats. Development of modern transportation infrastructure, connected vehicle technology and its dependency over the cloud with an aim to enhance safety, efficiency, reliability and sustainability of ITS comes with a lot more opportunities to protect the system from black hats. This paper explores the landscape of cyber threats targeting ITS, focusing on their potential impacts, vulnerabilities, and mitigation strategies. The cyber-attacks in ITS are not just limited to Unauthorized Access, Malware and Ransomware Attacks, Data Breaches, Denial of Service but also to Physical Infrastructure Attacks. These attacks may result in potentially disrupting critical transportation infrastructure, compromise user safety, and can cause economic losses effecting the various services such as vehicle tracking and monitoring, communication systems, traffic management, driver assistance systems, fuel management, maintenance and diagnostics, data analytics and reporting. The article also focus on innovative approaches that have recently adopted my many cybersecurity professionals for secured operation of ITS involving block-chain, artificial intelligence, and Machine Learning. The development of 5G technology boosts these innovative approaches enabling high-reliability ensuring continuous high speed connectivity and low-latency for real time communications and security for the ITS and also promotes secured V2X communication. This article discusses the various practices adopted for security of ITS and also reviews the upcoming new technology and there approach for practical implementation in field. By understanding the various cyber threats targeting ITS and implementing appropriate safeguards, stakeholders can enhance the resilience and security of these systems, ensuring safe and efficient transportation in the digital age.</div></div>
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Teh, Yit Loong, Yit Loong Tan, and Siaw Lang Wong. "5G Cybersecurity: Risk Assessment and Incident Response in the Healthcare Industry." In International Conference on Digital Transformation and Applications (ICDXA 2021). Tunku Abdul Rahman University College, 2021. http://dx.doi.org/10.56453/icdxa.2021.1015.
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Rapid proliferation and developments in the field of telecommunication have led to a renewed interest in the fifth-generation technology standard for broadband cellular networks. As compared to the previous generations, 5G is capable of connecting numerous nodes simultaneously while offering pathbreaking implementations in enabling time-critical services such as autonomous vehicles, real-time drone manoeuvres, Industry 4.0, virtual reality, augmented reality, etc. Nevertheless, these conveniences may turn out to be security threats or vulnerabilities susceptible to cyberattacks. Apparently, thwarting cyberattacks is a never-ending journey, especially in the major economic sector – healthcare. It is an undeniable fact that healthcare is among the industries underpinning a nation’s economy. Hence, this paper will first forecast the trend of PHI breaches with Holt Winter’s model to emphasise the rise of cyber threats. Next, evaluating the risks of the chosen asset with ISO/IEC 27001 risk matrix. Then, compares the National Institute of Standards and Technology (NIST) SP 800-61 Incident Response Lifecycle and John Boyd’s OODA Loop; the latter offers significant advantages over the former concerning the adoption of situational awareness concepts, philosophy, and more. As a result, the number of PHI breaches increase tremendously due to the growth in the number of IT incidents and insider attacks. Keywords: 5G network, Incident response, Agile response, Cyberattack, Information security
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Ijomanta, Henry, Lukman Lawal, Onyekachi Ike, Raymond Olugbade, Fanen Gbuku, and Charles Akenobo. "Digital Oil Field; The NPDC Experience." In SPE Nigeria Annual International Conference and Exhibition. SPE, 2021. http://dx.doi.org/10.2118/207169-ms.
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Abstract This paper presents an overview of the implementation of a Digital Oilfield (DOF) system for the real-time management of the Oredo field in OML 111. The Oredo field is predominantly a retrograde condensate field with a few relatively small oil reservoirs. The field operating philosophy involves the dual objective of maximizing condensate production and meeting the daily contractual gas quantities which requires wells to be controlled and routed such that the dual objectives are met. An Integrated Asset Model (IAM) (or an Integrated Production System Model) was built with the objective of providing a mathematical basis for meeting the field's objective. The IAM, combined with a Model Management and version control tool, a workflow orchestration and automation engine, A robust data-management module, an advanced visualization and collaboration environment and an analytics library and engine created the Oredo Digital Oil Field (DOF). The Digital Oilfield is a real-time digital representation of a field on a computer which replicates the behavior of the field. This virtual field gives the engineer all the information required to make quick, sound and rational field management decisions with models, workflows, and intelligently filtered data within a multi-disciplinary organization of diverse capabilities and engineering skill sets. The creation of the DOF involved 4 major steps; DATA GATHERING considered as the most critical in such engineering projects as it helps to set the limits of what the model can achieve and cut expectations. ENGINEERING MODEL REVIEW, UPDATE AND BENCHMARKING; Majorly involved engineering models review and update, real-time data historian deployment etc. SYSTEM PRECONFIGURATION AND DEPLOYMENT; Developed the DOF system architecture and the engineering workflow setup. POST DEPLOYMENT REVIEW AND UPDATE; Currently ongoing till date, this involves after action reviews, updates and resolution of challenges of the DOF, capability development by the operator and optimizing the system for improved performance. The DOF system in the Oredo field has made it possible to integrate, automate and streamline the execution of field management tasks and has significantly reduced the decision-making turnaround time. Operational and field management decisions can now be made within minutes rather than weeks or months. The gains and benefits cuts across the entire production value chain from improved operational safety to operational efficiency and cost savings, real-time production surveillance, optimized production, early problem detection, improved Safety, Organizational/Cross-discipline collaboration, data Centralization and Efficiency. The DOF system did not come without its peculiar challenges observed both at the planning, execution and post evaluation stages which includes selection of an appropriate Data Gathering & acquisition system, Parts interchangeability and device integration with existing field devices, high data latency due to bandwidth, signal strength etc., damage of sensors and transmitters on wellheads during operations such as slickline & WHM activities, short battery life, maintenance, and replacement frequency etc. The challenges impacted on the project schedule and cost but created great lessons learnt and improved the DOF learning curve for the company. The Oredo Digital Oil Field represents a future of the oil and gas industry in tandem with the industry 4.0 attributes of using digital technology to drive efficiency, reduce operating expenses and apply surveillance best practices which is required for the survival of the Oil and Gas industry. The advent of the 5G technology with its attendant influence on data transmission, latency and bandwidth has the potential to drive down the cost of automated data transmission and improve the performance of data gathering further increasing the efficiency of the DOF system. Improvements in digital integration technologies, computing power, cloud computing and sensing technologies will further strengthen the future of the DOF. There is need for synergy between the engineering team, IT, and instrumentation engineers to fully manage the system to avoid failures that may arise from interface management issues. Battery life status should always be monitored to ensure continuous streaming of real field data. New set of competencies which revolves around a marriage of traditional Petro-technical skills with data analytic skills is required to further maximize benefit from the DOF system. NPDC needs to groom and encourage staff to venture into these data analytic skill pools to develop knowledge-intelligence required to maximize benefit for the Oredo Digital Oil Field and transfer this knowledge to other NPDC Asset.