The Roles of 5G Mobile Broadband in the Development of IoT, Big Data, Cloud and SDN

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Communications and Network

ISSN Print: 1949-2421
ISSN Online: 1947-3826
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E-mail: cn@scirp.org

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"The Roles of 5G Mobile Broadband in the Development of IoT, Big Data, Cloud and SDN"
written by Bao-Shuh Paul Lin, Fuchun Joseph Lin, Li-Ping Tung,
published by Communications and Network, Vol.8 No.1, 2016

has been cited by the following article(s):

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CrossRef

[1]	How the 5G Enabled the COVID-19 Pandemic Prevention and Control: Materiality, Affordance, and (De-) Spatialization
	… Journal of Environmental Research and Public …, 2022

[2]	Optimal Cooperative Spectrum Sensing Based on Butterfly Optimization Algorithm
	CMC-Computers, Materials …, 2022

[3]	Multi-Band Reconfigurable Antennas For 5G Wireless and CubeSat Applications: A Review
	IEEE Access, 2022

[4]	Applications of Geographic Information Science and Technology to Monitor and Manage the COVID-19 Pandemic
	Innovations in Environmental …, 2022

[5]	Toward an AI-Enabled O-RAN-based and SDN/NFV-driven 5G& IoT Network Era
	Network and Communication Technologies, 2021

[6]	استخدام محددات إنترنت الأشياء للتوجه نحو التعليم الالكتروني بالجامعات السودانية‎
	International Journal of research in …, 2021

[7]	Robust Spectrum Sensing Employing PSO
	2021 Twelfth International …, 2021

[8]	Enhancing the quality of communication of cellular networks using big data applications
	Journal of Big Data, 2021

[9]	Toward an AI-enabled SDN-based 5G & IoT network
	Netw. Commun. Technol., 2021

[10]	A Genetic Algorithm-Based Soft Decision Fusion Scheme in Cognitive IoT Networks with Malicious Users
	2020

[11]	Impact of IoT-Based Smart Cities on Human Daily Life
	2020

[12]	Impact of IoT-Based Smart Cities on Human Daily Life.
	2020

[13]	Particle Swarm Optimization in the Presence of Malicious Users in Cognitive IoT Networks with Data
	2020

[14]	Strategic positioning of emerging 5G technology: barriers and perspectives
	2019

[15]	Enabling Heterogeneous 5G Simulations with SDN Adapters
	2019

[16]	SDN/NFV-based M-CORD for Achieving Scalability in Deploying NB-IoT Gateways
	2019

[17]	Strategic Positioning of Emerging 5G Technology-Barriers and Perspectives
	2019

[18]	Industry 4.0 Technologies Used in Project Management
	2019

[19]	SDN/NFV Based Internet of Things for Multi-Tenant Networks
	2019

[20]	QoE management of multimedia streaming services in future networks: a tutorial and survey
	2019

[21]	Perspective directions of development and research in the field of information and communication technologies
	2019

[22]	SDN/NFV-Based Network Infrastructure for Enhancing IoT Gateways
	2019

[23]	Χρήση Τεχνητής Νοημοσύνης και Μηχανικής Μάθησης στην Υποστήριξη του Διαδικτύου των Πραγμάτων και Επικοινωνιών 5ης Γενιάς
	2019

[24]	Enhanced Handover Clustering and Forecasting Models Based on Machine Learning and Big Data
	2018

[25]	Matching Model of Flow Table for Software-Defined Internet of Things
	2018

[26]	A practical model for traffic forecasting based on big data, machine-learning, and network KPIs
	2018

[27]	Applying Big Data, Machine Learning, and SDN/NFV for 5G Early-Stage Traffic Classification and Network QoS Control
	2018

[28]	Literature review of Industry 4.0 and related technologies
	Journal of Intelligent Manufacturing, 2018

[29]	SDN/NFV, Machine Learning, and Big Data Driven Network Slicing for 5G
	2018

[30]	Applying Big Data, Machine Learning, and SDN/NFV to 5G Traffic Clustering, Forecasting, and Management
	2018

[31]	IOT AND 5G: THE INTERCONNECTION
	Proceedings of the International Conference on Industrial Engineering and Operations Management, 2018

[32]	Big Data and Machine Learning Driven Open5GMEC for Vehicular Communications
	2018

[33]	TNC
	2018

[34]	TMLAI
	2018

[35]	RedEdge: A novel architecture for big data processing in mobile edge computing environments
	Journal of Sensor and Actuator Networks, 2017

[36]	Matching model of flow table for networked big data
	2017

[37]	Big data and machine learning driven handover management and forecasting
	2017

[38]	A Brief Survey on 5G Wireless Mobile Network
	International Journal of Advanced Computer Science and Applications, 2017

[39]	Accelerating Humanoid Robot Learning from Human Action Skills Using Context-Aware Middleware
	Intelligent Robotics and Applications, 2016

[1]	Multiband Reconfigurable Antennas for 5G Wireless and CubeSat Applications: A Review IEEE Access, 2022 DOI:10.1109/ACCESS.2022.3166223

[2]	How the 5G Enabled the COVID-19 Pandemic Prevention and Control: Materiality, Affordance, and (De-)Spatialization International Journal of Environmental Research and Public Health, 2022 DOI:10.3390/ijerph19158965

[3]	Innovations in Environmental Biotechnology 2022 DOI:10.1007/978-981-16-4445-0_20

[4]	Multimedia Streaming in SDN/NFV and 5G Networks 2022 DOI:10.1002/9781119800828.ch10

[5]	Multimedia Streaming in SDN/NFV and 5G Networks 2022 DOI:10.1002/9781119800828.ch2

[6]	Optimal Cooperative Spectrum Sensing Based on Butterfly Optimization Algorithm Computers, Materials & Continua, 2022 DOI:10.32604/cmc.2022.022260

[7]	Multiband Reconfigurable Antennas for 5G Wireless and CubeSat Applications: A Review IEEE Access, 2022 DOI:10.1109/ACCESS.2022.3166223

[8]	Enhancing the quality of communication of cellular networks using big data applications Journal of Big Data, 2021 DOI:10.1186/s40537-021-00533-8

[9]	Robust Spectrum Sensing Employing PSO 2021 Twelfth International Conference on Ubiquitous and Future Networks (ICUFN), 2021 DOI:10.1109/ICUFN49451.2021.9528553

[10]	Enhancing the quality of communication of cellular networks using big data applications Journal of Big Data, 2021 DOI:10.1186/s40537-021-00533-8

[11]	Testbeds and Research Infrastructures for the Development of Networks and Communications Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 2020 DOI:10.1007/978-3-030-43215-7_12

[12]	Integration of WSN and IoT for Smart Cities EAI/Springer Innovations in Communication and Computing, 2020 DOI:10.1007/978-3-030-38516-3_6

[13]	Particle Swarm Optimization in the Presence of Malicious Users in Cognitive IoT Networks with Data Scientific Programming, 2020 DOI:10.1155/2020/8844083

[14]	QoE Management of Multimedia Streaming Services in Future Networks: A Tutorial and Survey IEEE Communications Surveys & Tutorials, 2020 DOI:10.1109/COMST.2019.2958784

[15]	A Genetic Algorithm-Based Soft Decision Fusion Scheme in Cognitive IoT Networks with Malicious Users Wireless Communications and Mobile Computing, 2020 DOI:10.1155/2020/2509081

[16]	SDN/NFV-based M-CORD for Achieving Scalability in Deploying NB-IoT Gateways 2019 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM), 2019 DOI:10.1109/PACRIM47961.2019.8985066

[17]	Wireless Sensor Networks Communications in Computer and Information Science, 2019 DOI:10.1007/978-981-13-6834-9_5

[18]	Agile Approaches for Successfully Managing and Executing Projects in the Fourth Industrial Revolution Advances in Logistics, Operations, and Management Science, 2019 DOI:10.4018/978-1-5225-7865-9.ch003

[19]	SDN/NFV-Based Network Infrastructure for Enhancing IoT Gateways 2019 International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData), 2019 DOI:10.1109/iThings/GreenCom/CPSCom/SmartData.2019.00192

[20]	Literature review of Industry 4.0 and related technologies Journal of Intelligent Manufacturing, 2018 DOI:10.1007/s10845-018-1433-8

[21]	SDN/NFV, Machine Learning, and Big Data Driven Network Slicing for 5G 2018 IEEE 5G World Forum (5GWF), 2018 DOI:10.1109/5GWF.2018.8516953

[22]	Applying Big Data, Machine Learning, and SDN/NFV to 5G Traffic Clustering, Forecasting, and Management 2018 4th IEEE Conference on Network Softwarization and Workshops (NetSoft), 2018 DOI:10.1109/NETSOFT.2018.8460129

[23]	A practical model for traffic forecasting based on big data, machine-learning, and network KPIs 2018 15th IEEE Annual Consumer Communications & Networking Conference (CCNC), 2018 DOI:10.1109/CCNC.2018.8319255

[24]	RedEdge: A Novel Architecture for Big Data Processing in Mobile Edge Computing Environments Journal of Sensor and Actuator Networks, 2017 DOI:10.3390/jsan6030017

[25]	Big data and machine learning driven handover management and forecasting 2017 IEEE Conference on Standards for Communications and Networking (CSCN), 2017 DOI:10.1109/CSCN.2017.8088624

[26]	Intelligent Robotics and Applications Lecture Notes in Computer Science, 2016 DOI:10.1007/978-3-319-43506-0_49

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	+86 18163351462(WhatsApp)
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