[go: up one dir, main page]
More Web Proxy on the site http://driver.im/ Skip to main content

Advertisement

Springer Nature Link
Log in

SDN-Assisted Learning Approach for Data Offloading in 5G HetNets

  • Published:
Mobile Networks and Applications Aims and scope Submit manuscript

Abstract

With the fast proliferation of the smartphone usage, the mobile traffic has far more exceeded than the capacity of the LTE-A (Long Term Evolution-Advanced) networks. Hence, the Mobile Network Operators (MNOs) are looking for alternative opportunities to handle the network traffic instead of deploying cost-incurring classical devices. Mobile data offloading, which refers to diverting traffic from cellular networks to other complementary technologies such as WiFi access points offer to be a promising solution. APs provides better data services due to the small coverage area (100 m) and improves battery life. WiFi offloading, when implemented using Software-Defined Networking (SDN) helps in the dynamic management of a complex Heterogeneous Networks (HetNets). In this paper, we propose a novel SDN-Assisted Learning Approach (SALA) to provide better Quality of Experience (QoE) for both the cell edge users and intensive network users at the LTE-A base station using the unlicensed spectrum of the APs. We then verify our novel SALA framework against simulations based on real-world usage, and offer insight to the expected offloading gains in practice.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
£29.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price includes VAT (United Kingdom)

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9

Similar content being viewed by others

References

  1. Babatunji O, Hussain R (2014) Dwell Time Prediction Model for Minimizing Unnecessary Handovers in Heterogenous Wireless Networks. Considering Amoebic Shaped Coverage Region arXiv:1412.2181

    Google Scholar 

  2. Rebecchi F, Dias de Amorim M, Conan V, Passarella A, Bruno R, Conti M (2015) Data offloading techniques in cellular networks: a survey. IEEE Commun Surv Tutorials 17(2):580–603

    Article  Google Scholar 

  3. Sgambelluri A, Giorgetti A, Cugini F, Paolucci F, Castoldi P (2013) Open flow based segment protection in Ethernet networks. IEEE/OSA J Opt Commun Networking 5(9):1066–1075

    Article  Google Scholar 

  4. Vaghani R, Lung C-H (2014) A comparison of data forwarding schemes for network resiliency in software defined networking. Procedia Computer Science 34:680–685

    Article  Google Scholar 

  5. Xia W, Wen Y, Foh CH, Niyato D, Xie H (2015) A survey on software-defined networking. IEEE Commun Surv Tutorials 17(1):27–51

    Article  Google Scholar 

  6. Song S, Lee J, Son K, Jung H, Lee J (2016) A congestion avoidance algorithm in SDN environment, 2016 International Conference on Information Networking (ICOIN), Kota Kinabalu, pp. 420–423

  7. He Z, Zhang D, Liang J, (2015) Cost-efficient heterogeneous data transmission in software defined vehicular networks, IEEE International Conference on High Performance Computing and Communications (HPCC), New York, pp. 666–671

  8. Kang S, Yoon W (2016) SDN-based resource allocation for heterogeneous LTE and WLAN multi-radio networks. J Supercomput 72(4):1342–1362

    Article  Google Scholar 

  9. Nunes BAA, Mendonca M, Nguyen X-N, Obraczka K, Turletti T (2014) A survey of software-defined networking: past, present, and future of programmable networks. IEEE Commun Surv Tutorials 16(3):1617–1634

    Article  Google Scholar 

  10. Yassine A, Rahimi H, Shirmohammadi S (2015) Software-defined network traffic measurement: Current trends and challenges. IEEE Instrum Meas Mag 18(2):42–50

    Article  Google Scholar 

  11. Deng H, Hou I-H (2015) Online scheduling for delayed mobile offloading, in IEEE Conference on Computer Communications (INFOCOM), pp.1867–1875

  12. Qiang L, Li J, Huang C (2014) A software-defined network based vertical handoff scheme for heterogeneous wireless networks, IEEE Global Communications Conference (GLOBECOM), Austin, TX, pp. 4671–4676

  13. Tuzunkan FA, Gungor VC, Zeydan E, Ileri O, Ergüt S (2014) Seamless mobile data offloading in Heterogeneous Wireless Networks based on IEEE 802.21 and user experience, IEEE Wireless Communications and Networking Conference Workshops (WCNCW), Istanbul, pp. 178–183

  14. Cheung MH, Huang J (2015) DAWN: delay-aware WiFi offloading and network selection. IEEE J Sel Areas Commun 33(6):1214–1223

    Article  Google Scholar 

  15. Shi G, Gao B, Zhang Li (2013) The optimized K-means algorithm for improving randomly-initialed midpoints," International Conference on Measurement, Information and Control (ICMIC), Harbin, pp. 1212–1216

  16. Lee K, Lee J, Yi Y, Rhee I, Chong S (April 2013) Mobile data offloading: how much can WiFi deliver? in IEEE/ACM Transactions on Networking 21(2):536–550

    Article  Google Scholar 

  17. Fontes RR, Afzal S, Brito SHB, Santos MAS, Rothenberg CE (2015) Mininet-wifi: emulating software-defined wireless networks, network and service management (CNSM), 2015 11th International Conference on, Barcelona, pp. 384–389

  18. Kaur SK, Singh J, Ghumman NS (2014) Network programmability using POX controller,” International Conference on Communication, Computing and Systems (ICCS)

  19. M. G. Markakis, Modiano EH, Tsitsiklis JN (2012) Max-weight scheduling in networks with heavy-tailed traffic, INFOCOM, Proceedings IEEE, Orlando, FL, pp. 2318–2326

  20. Stevens-Navarro E, Wong VWS (2013) Comparison between vertical handoff decision algorithms for heterogeneous wireless networks,’ IEEE 63rd Vehicular Technology Conference, 2, pp 947–951

  21. Duong-Ba T, Nguyen T, Bose B, Tran DA (2014) Distributed client-server assignment for online social network applications. IEEE Transactions on Emerging Topics in Computing 2(4):422–435

    Article  Google Scholar 

  22. Omheni N, Zarai F, Obaidat MS, Hsiao KF (2014) A novel verticalhandoffdecision making algorithm across heterogeneous wireless networks, 2014 International Conference on Computer, Information and Telecommunication Systems (CITS), Jeju, pp. 1–6

  23. Ho TM, Tran NH, Do CT, Kazmi SA, LeAnh T, Hong CS (2015) Data offloading in heterogeneous cellular networks: Stackelberg game based approach. IEEE, 17th Asia-Pacific Network Operations and Management Symposium (APNOMS), Busan, pp 168–173

  24. 4.5G Opening Giga Mobile World Empowering Vertical Markets (2016) Mobile World Congress, Barcelona, pp 1–12

Download references

Acknowledgements

Sudha Anbalagan gratefully acknowledges support from Anna Cenetary Research Fellowship (ACRF 2014-2016) by Centre for Research, Anna University, Chennai. She also gratefully acknowledges support from Department of Computer Science, University of California, Davis, USA as a Visiting Scholar.

Gunasekaran Raja and Muthuvalliammai V gratefully acknowledges support from NGNLabs, Department of Computer Technology, Anna University, Chennai.

Author information

Authors and Affiliations

  1. Department of Information Technology, Anna University, Chennai, India

    Sudha Anbalagan & Dhananjay Kumar

  2. Department of Computer Science, University of California, Davis, USA

    Sudha Anbalagan & Dipak Ghosal

  3. Department of Computer Technology, Anna University, Chennai, India

    Gunasekaran Raja & Muthuvalliammai V

Authors
  1. Sudha Anbalagan
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Dhananjay Kumar
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Dipak Ghosal
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Gunasekaran Raja
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Muthuvalliammai V
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Gunasekaran Raja.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Anbalagan, S., Kumar, D., Ghosal, D. et al. SDN-Assisted Learning Approach for Data Offloading in 5G HetNets. Mobile Netw Appl 22, 771–782 (2017). https://doi.org/10.1007/s11036-017-0838-5

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11036-017-0838-5

Keywords

Search

Navigation