Abstract
Recent statistics show that mobile wireless broadband penetration has exceed that of fixed broadband, with 96.2 % of the world’s population subscribing to wireless services and over 40 % of US citizens carry smartphones. This trend is expected to continue in the future at much faster growth rates, and spectrum scarcity becomes a problem. Dynamic spectrum allocation has been proposed as a solution to improve spectrum efficiency and increase the spectrum access opportunities for wireless devices. However, the majority of the research focus on fixed usage. In this paper, we aim at providing high Quality of Experience for mobile devices, whose services cannot be finished within one coverage. We propose an adaptive spectrum allocation framework that optimizes spectrum utilization based on spectrum users’ hierarchy, requirements, as well as mobility. The simulation results show that the proposed adaptive spectrum allocation model lead to higher spectrum utilization efficiency, shorter average waiting time and lower probability of call dropping.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Andrews, J.G.: Seven ways that HetNets are a cellular paradigm shift. Commun. Mag. IEEE 51(3), 136–144 (2013)
Akyildiz, I.F., et al.: NeXt generation/dynamic spectrum access/cognitive radio wireless networks: a survey. Comput. Networks 50(13), 2127–2159 (2006)
International Telecommunication Union. ICT Facts and Figures. In ICT Data and Statistics Division, Telecommunication Development Bureau, pp. 1-8, February 2013
Srinivasa, S., Jafar, S.A.: Cognitive radios for dynamic spectrum access-the throughput potential of cognitive radio: A theoretical perspective. Commun. Mag. IEEE 45(5), 73–79 (2007)
Huang, J., Berry, R.A., Honig, M.L.: Auction-based spectrum sharing. Mobile Netw. Appl. 11(3), 405–418 (2006)
Eng, K.Y., et al.: BAHAMA: A broadband ad-hoc wireless ATM local-area network. In: 1995 IEEE International Conference on Communications, 1995. ICC 1995 Seattle, Gateway to Globalization, vol. 2. IEEE (1995)
Agrawal, P., et al.: SWAN: A mobile multimedia wireless network. Pers. Commun. IEEE 3(2), 18–33 (1996)
Chan, M.C., Ramjee, R.: Improving TCP/IP performance over third-generation wireless networks. Mobile Comput. IEEE Trans. 7(4), 430–443 (2008)
Seetharam, A., et al.: On managing quality of experience of multiple video streams in wireless networks. Mobile Comput. IEEE Trans. 14(3), 619–631 (2015)
Liu, C., Bouazizi, I., Gabbouj, M.: Rate adaptation for adaptive HTTP streaming. In: Proceedings of the Second Annual ACM Conference on Multimediasystems. ACM (2011)
FCC. Report and Order and Second Further Notice of Proposed Rulemaking, April 17, 2015
Aljadhai, A.S.: A Framework for Predictive and Adaptive QoS Support in Wireless Mobile Networks. University of Pittsburgh (1999)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this paper
Cite this paper
Cui, L., Znati, T. (2016). A QoE-Aware Adaptive Spectrum Allocation Framework for Secondary Mobile Networks. In: Yang, Q., Yu, W., Challal, Y. (eds) Wireless Algorithms, Systems, and Applications. WASA 2016. Lecture Notes in Computer Science(), vol 9798. Springer, Cham. https://doi.org/10.1007/978-3-319-42836-9_13
Download citation
DOI: https://doi.org/10.1007/978-3-319-42836-9_13
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-42835-2
Online ISBN: 978-3-319-42836-9
eBook Packages: Computer ScienceComputer Science (R0)