Framework for Generic Design of Massive IoT Slice in 5G

被引:0
|
作者
Lekshmi, S. Sree [1 ]
Anjana, M. S. [1 ]
Nair, Bhavana B. [1 ]
Raj, Dhanesh [1 ]
Ponnekanti, Seshaiah [1 ]
机构
[1] Amrita Vishwa Vidyapeetham, Amrita Sch Engn, Amrita Ctr Wireless Networks & Applicat AmritaWNA, Amritapuri, India
关键词
5G Network; Network Slice; Key Enablers; massive IoT;
D O I
10.1109/wispnet45539.2019.9032878
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
5G Networks are expected to deliver wide range of services to support communication between smartphone devices, machines, drones and tiny sensors. Network transformation has been envisaged as a panacea to support such diverse requirements. 5G network has been designed in an all-encompassing manner to rapidly deploy customized services to cater the needs of multiple vertical industries. The pivotal part of the transformation is Network Slicing technology. Network slicing facilitates golden triangle of use cases comprising ultra-low latency, massive Internet of Things (IoT) and enhanced broadband segments. In the slicing paradigm, physical network has been partitioned into multiple logical networks to effectively realise multi-tenancy through shared virtualized network infrastructure. In this paper, the blueprint of slice design has been addressed to support massive IoT (mIoT) slice. Recent research trends have been witnessing multitude of technologies and algorithms related to the network slicing. By carefully extracting relevant cutting-edge techniques from the current emerging research landscape, the paper highlights candidate set of enablers to help Service Providers (SPs) build a tool-box for network slice design for mIoT use case. The combination of infrastructure moving towards virtualized data centers, controlled by Software Defined Network (SDN) principles, splitting the virtualized Radio Access Network (RAN), control plane and user plane separation and lightweight resource management have been addressed here. Selected building-blocks have been gleaned and summarized to provide useful insight into the overall framework of network slice design for mIoT.
引用
收藏
页码:523 / 529
页数:7
相关论文
共 50 条
  • [1] Generic 5G Infrastructure for IoT Ecosystem
    Khorashadizadeh, Saeed
    Ikuesan, Adeyemi Richard
    Kebande, Victor R.
    EMERGING TRENDS IN INTELLIGENT COMPUTING AND INFORMATICS: DATA SCIENCE, INTELLIGENT INFORMATION SYSTEMS AND SMART COMPUTING, 2020, 1073 : 451 - 462
  • [2] Optimization of Massive Connections in 5G Networks for IoT
    Zapata Cano, Pablo H.
    Ramirez-Arroyo, Alejandro
    Luna Valero, Francisco
    Valenzuela-Valdes, Antonio
    Castillo-Valdivieso, Pedro A.
    Valenzuela Valdes, Juan Fco.
    2019 SIXTH INTERNATIONAL CONFERENCE ON INTERNET OF THINGS: SYSTEMS, MANAGEMENT AND SECURITY (IOTSMS), 2019, : 581 - 585
  • [3] 5G Wireless with Cognitive Radio and Massive IoT
    Roy, Abhishek
    Sengupta, Shamik
    Wong, Kai-Kit
    Raychoudhury, Vaskar
    Govindan, Kannan
    Singh, Sukhdeep
    IETE TECHNICAL REVIEW, 2017, 34 : 1 - 3
  • [4] NB-IoT: A Candidate Technology for Massive IoT in the 5G Era
    Narayanan, Subin
    Tsolkas, Dimitris
    Passas, Nikos
    Merakos, Lazaros
    2018 IEEE 23RD INTERNATIONAL WORKSHOP ON COMPUTER AIDED MODELING AND DESIGN OF COMMUNICATION LINKS AND NETWORKS (CAMAD), 2018, : 404 - 409
  • [5] Security Standards and Measures for Massive IoT in the 5G Era
    Qin Qiu
    Ding Wang
    Xuetao Du
    Shengquan Yu
    Shenglan Liu
    Bei Zhao
    Mobile Networks and Applications, 2022, 27 : 392 - 403
  • [6] Method for Handling Massive IoT Traffic in 5G Networks
    Marwat, Safdar Nawaz Khan
    Mehmood, Yasir
    Khan, Ahmad
    Ahmed, Salman
    Hafeez, Abdul
    Kamal, Tariq
    Khan, Aftab
    SENSORS, 2018, 18 (11)
  • [7] Security Standards and Measures for Massive IoT in the 5G Era
    Qiu, Qin
    Wang, Ding
    Du, Xuetao
    Yu, Shengquan
    Liu, Shenglan
    Zhao, Bei
    MOBILE NETWORKS & APPLICATIONS, 2022, 27 (01): : 392 - 403
  • [8] Enabling Massive IoT in 5G and Beyond Systems: PHY Radio Frame Design Considerations
    Ijaz, Ayesha
    Zhang, Lei
    Grau, Maxime
    Mohamed, Abdelrahim
    Vural, Serdar
    Quddus, Atta U.
    Imran, Muhammad Ali
    Foh, Chuan Heng
    Tafazolli, Rahim
    IEEE ACCESS, 2016, 4 : 3322 - 3339
  • [9] Design of deep learning model for radio resource allocation in 5G for massive iot device
    Saravanan, V.
    Sreelatha, P.
    Atyam, Nageswara Rao
    Madiajagan, M.
    Saravanan, D.
    Kumar, T. Ananth
    Sultana, H. Parveen
    SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS, 2023, 56
  • [10] 5G and IoT
    Chang, Li Fung
    2016 INTERNATIONAL SYMPOSIUM ON VLSI DESIGN, AUTOMATION AND TEST (VLSI-DAT), 2016,