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Journal articles on the topic 'Next Generation Network'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 May 2024

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1

Thanmayee, Kandula, Geethika S, Dhanush N. Kuchally, Arfa Tazmeen, and Dr Pooja Nayak S. "Next Generation Technology: 5G." International Journal of Engineering Research in Computer Science and Engineering 9, no. 10 (2022): 46–49. http://dx.doi.org/10.36647/ijercse/09.10.art010.

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This paper discusses 5G wireless networks and their upcoming challenges, such as increasing network capacity to support a large number of devices running applications that require high data rates and always-on connectivity; and supporting emerging wireless network business models that necessitate more open networks. New difficulties demand new solutions, such as revised plans for future 5G wireless network location, management, and operation that are equivalent to current wireless networks. One of the main goals of future 5G wireless networks is to integrate cloud reserves and wireless/wired n

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2

Kurokawa, Akira, Shuji Esaki, Atsushi Hiramatsu, and Hirofumi Horikoshi. "Network Technologies for Next Generation Networks." IEICE Communications Society Magazine 2010, no. 13 (2010): 13_10–13_21. http://dx.doi.org/10.1587/bplus.2010.13_10.

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3

Matheus, Christopher J., Aidan Boran, Dominic Carr, et al. "Semantic network management for next‐generation networks." Computational Intelligence 35, no. 2 (2018): 285–309. http://dx.doi.org/10.1111/coin.12180.

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4

R. Mohamed, Rajina. "Temporary Server for Service Continuity in Next Generation Network." International Journal of Future Computer and Communication 3, no. 6 (2014): 391–94. http://dx.doi.org/10.7763/ijfcc.2014.v3.334.

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5

Payumo, Jane, Evangelyn Alocilja, Chelsie Boodoo, et al. "Next Generation of AMR Network." Encyclopedia 1, no. 3 (2021): 871–92. http://dx.doi.org/10.3390/encyclopedia1030067.

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Antimicrobial resistance (AMR) is one of the top 10 global public health threats facing humanity, especially in low-resource settings, and requires an interdisciplinary response across academia, government, countries, and societies. If unchecked, AMR will hamper progress towards reaching the United Nations Sustainable Development Goals (SDGs), including ending poverty and hunger, promoting healthy lives and well-being, and achieving sustained economic growth. There are many global initiatives to curb the effects of AMR, but significant gaps remain. New ways of thinking and operating in the con

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6

Lerner, Stephanie. "Next-Generation Philanthropy: Examining a Next-Generation Jewish Philanthropic Network." Foundation Review 3, no. 4 (2011): 82–95. http://dx.doi.org/10.4087/foundationreview-d-11-00014.

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7

Cato, Nei. "On Next Generation Network Security." IEEE Network 31, no. 2 (2017): 2. http://dx.doi.org/10.1109/mnet.2017.7884939.

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8

Shen, Shan-Hsiang. "Next generation service centre network." Impact 2018, no. 1 (2018): 15–17. http://dx.doi.org/10.21820/23987073.2018.15.

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9

Picot, Arnold, and Joachim Sedlmeir. "Next Generation Networks." MedienWirtschaft 12, no. 4 (2015): 32–39. http://dx.doi.org/10.15358/1613-0669-2015-4-32.

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Die Hauptaufgabe von Telekommunikationsnetzen liegt in der Übertragung von Signalen bzw. Daten zwischen physisch voneinander getrennten Endsystemen, wie beispielsweise Festnetz- oder Mobiltelefonen, PCs, Fernsehoder Radiogeräten (Obermann & Horneffer 2013, S. 1). Dabei war für lange Zeit das Telefonnetz (Public Switched Telecommunication Network – PSTN) das bedeutendste Telekommunikationsnetz, das Zugang zu allen Haushalten und Gebäuden über Landesgrenzen hinweg gewährte (OECD 2008b, S. 4). Seit geraumer Zeit ist der Telekommunikationssektor allerdings von disruptiven Veränderungsprozessen

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10

Kaushik, Akhil, and Mani Shekhar. "Network Simulators for Next Generation Networks: An Overview." International Journal of Mobile Network Communications & Telematics 4, no. 4 (2014): 39–51. http://dx.doi.org/10.5121/ijmnct.2014.4404.

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11

Fouli, Kerim, Martin Maier, and Muriel Medard. "Network coding in next-generation passive optical networks." IEEE Communications Magazine 49, no. 9 (2011): 38–46. http://dx.doi.org/10.1109/mcom.2011.6011732.

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12

Leon-Garcia, A., and L. G. Mason. "Virtual network resource management for next-generation networks." IEEE Communications Magazine 41, no. 7 (2003): 102–9. http://dx.doi.org/10.1109/mcom.2003.1215646.

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13

Antoniou, Josephina, Ioannis Koukoutsidis, Eva Jaho, Andreas Pitsillides, and Ioannis Stavrakakis. "Access network synthesis game in next generation networks." Computer Networks 53, no. 15 (2009): 2716–26. http://dx.doi.org/10.1016/j.comnet.2009.06.006.

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14

Satrusallya, Sarmistha. "Design of an Array Antenna for Next Generation Wireless Network." Journal of Advanced Research in Dynamical and Control Systems 12, SP4 (2020): 311–19. http://dx.doi.org/10.5373/jardcs/v12sp4/20201494.

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15

Awoyemi, B. S., A. S. Alfa, and B. T. Maharaj. "Network Restoration for Next-Generation Communication and Computing Networks." Journal of Computer Networks and Communications 2018 (2018): 1–13. http://dx.doi.org/10.1155/2018/4134878.

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Network failures are undesirable but inevitable occurrences for most modern communication and computing networks. A good network design must be robust enough to handle sudden failures, maintain traffic flow, and restore failed parts of the network within a permissible time frame, at the lowest cost achievable and with as little extra complexity in the network as possible. Emerging next-generation (xG) communication and computing networks such as fifth-generation networks, software-defined networks, and internet-of-things networks have promises of fast speeds, impressive data rates, and remarka

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16

.., Pallavi, and Sarika Chaudhary. "Maximizing Anomaly Detection Performance in Next-Generation Networks." Journal of Cybersecurity and Information Management 12, no. 2 (2023): 36–51. http://dx.doi.org/10.54216/jcim.120203.

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The paper discusses major components of the proposed intrusion detection system as well as associated ideas. Dimensionality reduction solutions are highly valued for their potential to improve the efficiency of anomaly detection. Furthermore, feature selection and fusion methods are applied to optimise the system's capabilities. The following summary of network control, management, and cloud-based network processing aspects highlights operations managers, cloud resources, network function virtualization (NFV), and hardware and software components. We discuss prospective Deep Autoencoders (DAEs

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17

Park, Youngjun, Dominik Heider, and Anne-Christin Hauschild. "Integrative Analysis of Next-Generation Sequencing for Next-Generation Cancer Research toward Artificial Intelligence." Cancers 13, no. 13 (2021): 3148. http://dx.doi.org/10.3390/cancers13133148.

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The rapid improvement of next-generation sequencing (NGS) technologies and their application in large-scale cohorts in cancer research led to common challenges of big data. It opened a new research area incorporating systems biology and machine learning. As large-scale NGS data accumulated, sophisticated data analysis methods became indispensable. In addition, NGS data have been integrated with systems biology to build better predictive models to determine the characteristics of tumors and tumor subtypes. Therefore, various machine learning algorithms were introduced to identify underlying bio

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18

Yeryomin, Yevgeniy, and Joc Hen Seitz. "Framework for Flexible Multi-Metric Path Selection for Next Generation Network." Journal of Advances in Computer Networks 3, no. 1 (2015): 42–48. http://dx.doi.org/10.7763/jacn.2015.v3.140.

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19

Shrivastava, Sandeep, Alok Jain, and Ram Kumar Soni. "Performance Analysis of FBMC System for Next Generation of Wireless Network." Journal of Advanced Research in Dynamical and Control Systems 11, no. 11 (2019): 126–31. http://dx.doi.org/10.5373/jardcs/v11i11/20193177.

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20

Aouedi, Ons, Kandaraj Piamrat, and Benoît Parrein. "Intelligent Traffic Management in Next-Generation Networks." Future Internet 14, no. 2 (2022): 44. http://dx.doi.org/10.3390/fi14020044.

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The recent development of smart devices has lead to an explosion in data generation and heterogeneity. Hence, current networks should evolve to become more intelligent, efficient, and most importantly, scalable in order to deal with the evolution of network traffic. In recent years, network softwarization has drawn significant attention from both industry and academia, as it is essential for the flexible control of networks. At the same time, machine learning (ML) and especially deep learning (DL) methods have also been deployed to solve complex problems without explicit programming. These met

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21

Wang, Liang. "Cloud-Based Next-Generation Data Center Design." Advanced Materials Research 1078 (December 2014): 439–43. http://dx.doi.org/10.4028/www.scientific.net/amr.1078.439.

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With the constant development of computer network technology, more and more enterprises have built their own data center in their networks, through which offers a variety of network applications and services. The increasing business volumes and rich types, as well as the amount and scale of data call for higher requirements in management and maintenance. Thus the traditional data center model can’t meet the demand obviously.

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22

Sunderam, Vaidy. "Heterogeneous network computing: The next generation." Parallel Computing 23, no. 1-2 (1997): 121–35. http://dx.doi.org/10.1016/s0167-8191(96)00100-7.

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23

Kühn, P. J. "Entwicklungen zum Next Generation Network (NGN)." PIK - Praxis der Informationsverarbeitung und Kommunikation 28, no. 1 (2005): 9–14. http://dx.doi.org/10.1515/piko.2005.9.

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24

Friaças, Carlos, Emanuel Massano, Mónica Domingues, and Pedro Veiga. "Probing next generation Portuguese academic network." Campus-Wide Information Systems 25, no. 5 (2008): 301–10. http://dx.doi.org/10.1108/10650740810921457.

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25

Maeda, Y., and B. Moore. "Standards for the next-generation network." IEEE Communications Magazine 43, no. 10 (2005): 33. http://dx.doi.org/10.1109/mcom.2005.1522121.

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26

Chae-Sub Lee and D. Knight. "Realization of the next-generation network." IEEE Communications Magazine 43, no. 10 (2005): 34–41. http://dx.doi.org/10.1109/mcom.2005.1522122.

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27

de Souza, José Neuman, Alan Marshall, and James Won-Ki Hong. "Next-generation network and service management." annals of telecommunications - annales des télécommunications 63, no. 3-4 (2008): 135–36. http://dx.doi.org/10.1007/s12243-008-0024-7.

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28

Hashim, Fazirulhisyam, M. Rubaiyat Kibria, and Abbas Jamalipour. "Securing the next generation mobile network." Security and Communication Networks 1, no. 1 (2008): 25–43. http://dx.doi.org/10.1002/sec.2.

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29

Forte, Andrea G., Wei Wang, Luca Veltri, and Gianluigi Ferrari. "A Next-Generation Core Network Architecture for Mobile Networks." Future Internet 11, no. 7 (2019): 152. http://dx.doi.org/10.3390/fi11070152.

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Over the years, the cellular mobile network has evolved from a wireless plain telephone system to a very complex system providing telephone service, Internet connectivity and many interworking capabilities with other networks. Its air interface performance has increased drastically over time, leading to high throughput and low latency. Changes to the core network, however, have been slow and incremental, with increased complexity worsened by the necessity of backwards-compatibility with older-generation systems such as the Global System for Mobile communication (GSM). In this paper, a new virt

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30

Wolf, Tilman. "In-network services for customization in next-generation networks." IEEE Network 24, no. 4 (2010): 6–12. http://dx.doi.org/10.1109/mnet.2010.5510912.

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31

Shen, Xuemin, Jie Gao, Wen Wu, et al. "AI-Assisted Network-Slicing Based Next-Generation Wireless Networks." IEEE Open Journal of Vehicular Technology 1 (2020): 45–66. http://dx.doi.org/10.1109/ojvt.2020.2965100.

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32

Santos, Justino, Diogo Gomes, Susana Sargento, et al. "Multicast/broadcast network convergence in next generation mobile networks." Computer Networks 52, no. 1 (2008): 228–47. http://dx.doi.org/10.1016/j.comnet.2007.09.002.

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33

Antoniou, Josephina, Vicky Papadopoulou, Vasos Vassiliou, and Andreas Pitsillides. "Cooperative user–network interactions in next generation communication networks." Computer Networks 54, no. 13 (2010): 2239–55. http://dx.doi.org/10.1016/j.comnet.2010.03.013.

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34

Chung, Ji Moon. "A Designing Method of Network Quality Assurance Test Bed Design under Next-generation Network Environment." Journal of Digital Contents Society 13, no. 4 (2012): 625–29. http://dx.doi.org/10.9728/dcs.2012.13.4.625.

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35

Chandramohan, B. "Restructured Ant Colony Optimization Routing Protocol for Next Generation Network." International Journal of Computers Communications & Control 10, no. 4 (2015): 492. http://dx.doi.org/10.15837/ijccc.2015.4.665.

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Wireless network is a major research domain in the past few decades. Wireless network evolves in many forms like cellular communication, ad hoc network, vehicular network, mesh network and sensor network. Next generation network is a recent cellular communication which provides heterogeneous connectivity on cellular communication. The routing in next generation wireless networks is an important research issue which requires many constraints than wired networks. Hence, Ant Colony Optimization (ACO) is applied in this paper for routing in heterogeneous next generation wireless network. The ACO i

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36

Qian, Fengchen, Yalin Ye, Ning Shan, and Bing Su. "A Novel Architecture of Telecommunication Networks for Next Generation Internet." MATEC Web of Conferences 173 (2018): 03036. http://dx.doi.org/10.1051/matecconf/201817303036.

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In this paper, we present a novel DC-centric architecture of telecommunication networks for next generation Internet. Data flow become the major traffic in existing telecommunication networks. Traditional computer networks and telecom networks meet many challenges in high-quality service, innovation, evolution, and management. Based on analysis existing telecom networks’ challenges, a DC-centric telecom network architecture with splitting the data plane from the control plane is proposed. The DC-centric telecom network is a widely-distributed data center network (DCN), which is composed of tho

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37

S. Abouzeid, Mohamed, Heba A. El-khobby, Mahmoud A. A. Ali, and Mohamed E. Nasr. "Edge Controller Placement for Next Generation Wireless Sensor Networks." International Journal of Computer Science and Information Technology 14, no. 5 (2022): 17–27. http://dx.doi.org/10.5121/ijcsit.2022.14502.

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Nowadays, Fog architecture or Edge architecture is becoming a popular research trend to distribute a substantial amount of computing resources, data processing and resource management at the extreme edge of the wireless sensor networks (WSNs). Industrial communication is a research track in next generation wireless sensor networks for the fourth revolution in the industrial process. Adopting fog architecture into Industrial communication systems is a promising technology within sensor networks architecture. With Software Defined Network (SDN) architecture, in this paper, we address edge contro

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38

Żotkiewicz, Mateusz, Wiktor Szałyga, Jaroslaw Domaszewicz, Andrzej Bąk, Zbigniew Kopertowski, and Stanisław Kozdrowski. "Artificial Intelligence Control Logic in Next-Generation Programmable Networks." Applied Sciences 11, no. 19 (2021): 9163. http://dx.doi.org/10.3390/app11199163.

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The new generation of programmable networks allow mechanisms to be deployed for the efficient control of dynamic bandwidth allocation and ensure Quality of Service (QoS) in terms of Key Performance Indicators (KPIs) for delay or loss sensitive Internet of Things (IoT) services. To achieve flexible, dynamic and automated network resource management in Software-Defined Networking (SDN), Artificial Intelligence (AI) algorithms can provide an effective solution. In the paper, we propose the solution for network resources allocation, where the AI algorithm is responsible for controlling intent-base

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39

Pastorelli, Rosanna, Gabriella Bosco, Stefano Piciaccia, and Fabrizio Forghieri. "Network Planning Strategies for Next-Generation Flexible Optical Networks [Invited]." Journal of Optical Communications and Networking 7, no. 3 (2015): A511. http://dx.doi.org/10.1364/jocn.7.00a511.

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40

Awoyemi, Babatunde S., Attahiru S. Alfa, and Bodhaswar T. Maharaj. "Network Restoration in Wireless Sensor Networks for Next-Generation Applications." IEEE Sensors Journal 19, no. 18 (2019): 8352–63. http://dx.doi.org/10.1109/jsen.2019.2917998.

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41

Wen, Ruihan, Gang Feng, Jianhua Tang, et al. "On Robustness of Network Slicing for Next-Generation Mobile Networks." IEEE Transactions on Communications 67, no. 1 (2019): 430–44. http://dx.doi.org/10.1109/tcomm.2018.2868652.

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42

Huang, Luan, Yajian Liu, Shyamalie Thilakawardana, and Rahim Tafazolli. "Network-centric user assignment in the next generation mobile networks." IEEE Communications Letters 10, no. 12 (2006): 822–24. http://dx.doi.org/10.1109/lcomm.2006.061086.

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43

HONG, K., S. JUNG, N. KANG, and Y. KIM. "Integrated Authentication Model for Network Access in Next Generation Networks." IEICE Transactions on Communications E90-B, no. 11 (2007): 3246–49. http://dx.doi.org/10.1093/ietcom/e90-b.11.3246.

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44

Alhammadi, Abdulraqeb, Mardeni Roslee, Mohamad Yusoff Alias, Ibraheem Shayea, and Abdullah Alquhali. "Velocity-Aware Handover Self-Optimization Management for Next Generation Networks." Applied Sciences 10, no. 4 (2020): 1354. http://dx.doi.org/10.3390/app10041354.

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The fifth generation (5G) network is an upcoming standard for wireless communications that coexists with the current 4G network to increase the throughput. The deployment of ultra-dense small cells (UDSC) over a macro-cell layer yields multi-tier networks, which are known as heterogeneous networks (HetNets). HetNets play a key role in the cellular network to provide services to numerous users. However, the number of handovers (HOs) and radio link failure (RLF) greatly increase due to the increase in the UDSC in the network. Therefore, mobility management becomes a very important function in a

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45

LIN, Chuang, Yuan-Zhuo WANG, and Feng-Yuan REN. "Research on QoS in Next Generation Network." Chinese Journal of Computers 31, no. 9 (2009): 1525–35. http://dx.doi.org/10.3724/sp.j.1016.2008.01525.

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46

López Sarmiento, Danilo Alfonso, Bayron Fabio Villanueva Ocampo, and Edwin Rivas Trujillo. "Iptv: next-generation network technologies and protocols." TECCIENCIA 7, no. 14 (2013): 39–48. http://dx.doi.org/10.18180/tecciencia.2013.14.5.

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47

Lin, Rongheng, Budan Wu, Yao Zhao, and Hua Zou. "A Tech-probe for Next Generation Network." Information Technology Journal 13, no. 3 (2014): 554–59. http://dx.doi.org/10.3923/itj.2014.554.559.

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48

Jayasingh, B. B., and Sumitra Mallick. "Next Generation Network – A Study On QOSMechanisms." CVR Journal of Science and Technology 2, no. 1 (2012): 70–75. http://dx.doi.org/10.32377/cvrjst0215.

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49

Ranaweera, Chathurika, Elaine Wong, Christina Lim, and Ampalavanapillai Nirmalathas. "Next generation optical-wireless converged network architectures." IEEE Network 26, no. 2 (2012): 22–27. http://dx.doi.org/10.1109/mnet.2012.6172271.

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50

Vaughan-Nichols, Steven J. "OpenFlow: The Next Generation of the Network?" Computer 44, no. 8 (2011): 13–15. http://dx.doi.org/10.1109/mc.2011.250.

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