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Mobile Content Offloading in Database-Assisted White Space Networks

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Cognitive Radio Oriented Wireless Networks (CrownCom 2016)

Abstract

Mobile data offloading leverages more affordable or even free network capacity to reduce the traffic experienced by cellular operators through their limited over-the-air resources. One way to harvest free capacity is to employ the white space, namely, frequencies that are assigned to licensed users but are not actively utilized, as long as no harmful interference is generated. In this article, we characterize the benefits of harnessing node contacts for mobile content offloading through dynamic spectrum access assisted by a white space database (WSDB). We take a content-centric approach and model the selection of distributors among the subscribers of each content served through a base station. We formulate an optimization problem to maximize the offloading gain based on realistic settings. We show that such a problem is NP-hard and devise efficient heuristics for practical mobile data offloading. Our results show that the offloading gain allowed by white space is significant even when WSDB data are inaccurate.

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Notes

  1. 1.

    We analyze the WSDB querying delay and its impact on offloading capacity in Sect. 4, based on our measurements from the Google Spectrum Database.

  2. 2.

    A detailed comparison of the different heuristics is provided in the next subsection.

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Acknowledgments

We thank Aleksandr Zavodovski for developing the mobile application for querying the WSDB. This work has been supported by the Academy of Finland under grant numbers 284806, 284807 and 278207.

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Correspondence to Suzan Bayhan .

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© 2016 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Bayhan, S., Premsankar, G., Di Francesco, M., Kangasharju, J. (2016). Mobile Content Offloading in Database-Assisted White Space Networks. In: Noguet, D., Moessner, K., Palicot, J. (eds) Cognitive Radio Oriented Wireless Networks. CrownCom 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 172. Springer, Cham. https://doi.org/10.1007/978-3-319-40352-6_11

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  • DOI: https://doi.org/10.1007/978-3-319-40352-6_11

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-319-40352-6

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