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

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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.

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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.

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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

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  1. Sudha Anbalagan
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  2. Dhananjay Kumar
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  3. Dipak Ghosal
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  4. Gunasekaran Raja
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  5. Muthuvalliammai V
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Correspondence to Gunasekaran Raja.

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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

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

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