Mobile content offloading in database-assisted white space networks

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openAccess

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Journal Title

Journal ISSN

Volume Title

A4 Artikkeli konferenssijulkaisussa

Date

2016

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Mcode

Degree programme

Language

en

Pages

13
129-141

Series

Cognitive Radio Oriented Wireless Networks - 11th International Conference, CROWNCOM 2016, Proceedings, Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, Volume 172

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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Keywords

Content delivery, Dynamic spectrum access, Mobile opportunistic offloading, White space database, White spaces, WSDB

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Citation

Bayhan, S, Premsankar, G, Di Francesco, M & Kangasharju, J 2016, Mobile content offloading in database-assisted white space networks . in Cognitive Radio Oriented Wireless Networks - 11th International Conference, CROWNCOM 2016, Proceedings . Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, vol. 172, Springer, pp. 129-141, International Conference on Cognitive Radio Oriented Wireless Networks, Grenoble, France, 30/05/2016 . https://doi.org/10.1007/978-3-319-40352-6_11