Adaption of 5G networks in industrial sector with improved bandwidth utilization


The newly arrived Software Defined Network (SDN) has been adapted to industry standards. By defining Software Defined Air Interface (SDA) would support achieving higher data rate and utilization of bandwidth. The growing use of internet in industrial sector has claimed higher bandwidth conditions. To provide sufficient bandwidth support for the industrial networks, the fifth generation network has been emerged. The industrial sector utilizes the internet communication for variety of purpose where the bandwidth of the connections needs higher values. They involve in accessing different resources located in different geographic location where the latency of communication should be less and they need to transfer huge amount of data which requires higher bandwidth conditions. However, the increased growth of internet usage has introduced huge challenge for the service providers in handling higher data rate solutions. However different opinions are generated toward 5G network design, still there is no blue print has been arrived. Towards the growth of 5G networks and for the improved performance of data rate maintenance, a novel software defined air interface has been proposed in this paper. The presence of macro cells and small cells supports the higher data rate. Each small cell has been fabricated with number of MIMO which is located in different locations of the network in dense. The software defined interface is capable of selecting optimal macro station or small cell for betterment of data transmission. The interface designed monitor the network conditions and estimates bandwidth utilization support (BUS) and data rate maintenance support (DMS) for different small cells located in different geographic location. The SDA designed is responsible for the selection of small cell, MIMO to maintain the data rate. The proposed method improves the performance of bandwidth utilization and data rate maintenance.

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  1. Abdelsalam A, Luglio M, Roseti C, Zampognaro F (2017) Analysis of bandwidth aggregation techniques for combined use of satellite and xDSL broadband links. International J Satell Commun Netw.

    Article  Google Scholar 

  2. Ahmed F, Shafiq Z, Khakpour A, Liu AX (2016) Optimizing internet transit routing for content delivery networks. In: 2016 IEEE 24th international conference on network protocols (ICNP).

  3. Akpakwu GA, Silva BJ, Hancke GP, Abu-Mahfouz AM (2018) A survey on 5G networks for the internet of things: communication technologies and challenges. IEEE Access 6:3619–3647

    Article  Google Scholar 

  4. Corici M, Kapovits A, Covaci S, Geurtz A, Gheorghe-Pop I-D, Riemer B, Weber A (2016) Assessing satellite-terrestrial integration opportunities in the 5G environment. A business and technology oriented whitepaper positioning satellite solutions in the emerging 5G landscape

  5. Ding H, Li X, Cai Y, Lorenzo B, Fang Y (2018) Intelligent data transportation in smart cities: a spectrum-aware approach. IEEE/ACM Trans Netw.

    Article  Google Scholar 

  6. Diro AA, Reda HT, Chilamkurti N (2018) Differential flow space allocation scheme in SDN based fog computing for IoT applications. J Ambient Intell Human Comput.

    Article  Google Scholar 

  7. Guo F, Zhang H, Ji H, Li X, Leung VCM (2018) An efficient computation offloading management scheme in the densely deployed small cell networks with mobile edge computing. IEEE/ACM Trans Netw 1–14

  8. Gupta A, Jha RK (2015) A survey of 5G network: architecture and emerging technologies. IEEE Access 3:1206–1232

    Article  Google Scholar 

  9. Han Y, Seed D, Wang C, Li X, Ly Q, Chen Z (2018) Delay-aware application protocol for internet of things. IEEE Netw.

    Article  Google Scholar 

  10. Ji M et al (2017) Order-optimal rate of caching and coded multicasting with random demands. IEEE Trans Inform Theory 63(6):3923–3949

    MathSciNet  Article  Google Scholar 

  11. Kuang L et al (2016) A tensor-based big data model for qos improvement in software defined networks. IEEE Netw 30(1):30–35

    MathSciNet  Article  Google Scholar 

  12. Lawal B, Nuray A (2018) Real-time detection and mitigation of distributed denial of service (DDoS) attacks in software defined networking (SDN). pp 1–4.

  13. Li H et al (2016) Progress and tendency of space and earth integrated network. Sci Technol Rev 34(14):95–106

    Google Scholar 

  14. Luglio M, Romano SP, Roseti C, Zampognaro F (2019) Service delivery models for converged satellite-terrestrial 5G network deployment: a satellite-assisted CDN use-case. IEEE Netw 33(1):142–150

    Article  Google Scholar 

  15. Romano SP, Giangrande F (2018) On the use of network coding as a virtual network function in satellite-terrestrial CDNs. IEEE INFOCOM 2018 - IEEE conference on computer communications workshops (INFOCOM WKSHPS).

  16. Romano SP, Roseti C, Tulino AM (2018) SHINE: secure hybrid in network caching environment. In: 2018 International symposium on networks, computers and communications (ISNCC).

  17. Saha G, Abouzeid AA, Matinmikko-Blue M (2018) Online algorithm for leasing wireless channels in a three-tier spectrum sharing framework. IEEE/ACM Trans Netw.

    Article  Google Scholar 

  18. Shirali-Shahreza S, Ganjali Y (2018) Protecting home user devices with an SDN-based firewall. IEEE Trans Consum Electron 64(1):92–100

    Article  Google Scholar 

  19. Shu Y, Zhu F (2020) An edge computing offloading mechanism for mobile peer sensing and network load weak balancing in 5G network. J Ambient Intell Hum Comput 11:503–510

    Article  Google Scholar 

  20. Tomovic S, Yoshigoe K, Maljevic I, Radusinovic I (2017) Software-defined fog network architecture for IoT. Wireless Pers Commun 92:181–196

    Article  Google Scholar 

  21. Tran TX et al (2017) Collaborative mobile edge computing in 5G networks: new paradigms scenarios and challenges. IEEE Commun Mag 55(4):54–61

    Article  Google Scholar 

  22. Wang X et al (2017) A tensor-based big-data-driven routing recommendation approach for heterogeneous networks. IEEE Netw 33(1)

  23. Zhang Z, Zhang W (2018) Satellite mobile edge computing: improving QoS of high-speed satellite-terrestrial networks using edge computing technique. IEEE Netw 33(1):70–76

    Article  Google Scholar 

  24. Zhang Q et al (2017a) An Incremental CFS algorithm for clustering large data in industrial internet of things. IEEE Trans Ind Inf 13(3):1193–1201

    Article  Google Scholar 

  25. Zhang W et al (2017b) Cooperative fog computing for dealing with big data in the internet of vehicles: architecture and hierarchical resource management. IEEE Commun Mag 55(12):60–67

    Article  Google Scholar 

  26. Zhang M et al (2019) NCPP-based caching and NUR-based resource allocation for information-centric networking. J Ambient Intell Human Comput 10:1739–1745

    Article  Google Scholar 

  27. Zhao Y et al (2018) A tensor-based multiple clustering approach with its applications in automation systems. IEEE Trans Ind Inf 14(1):283–291

    Article  Google Scholar 

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Sasikala, S., Sakthivel, S. Adaption of 5G networks in industrial sector with improved bandwidth utilization. J Ambient Intell Human Comput (2020).

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  • 5G network
  • Industrial SDA
  • Bandwidth utilization
  • Data rate
  • QoS
  • MIMO
  • BUS
  • DMS
  • MDR