Abstract
This paper considers the problem that the virtual mobile operator (VMO) buys services from the wireless service provider (WSP) to serve its users. When faced with poor indoor coverage or at the edge of marcocell, the WSP would ask nearby femto base stations (FBSs) to help serve the VMO. We focus on the interesting questions when the WSP prefers to ask help from FBSs and how WSP, VMO and FBSs adjust their strategies to maximize their profits. A two-stage Stackelberg game is built for the situation when the WSP serve the VMO by itself and a four-stage Stackelberg game is considered when the WSP rents FBSs by offering spectrum bands to FBSs. We firstly define the utility functions of VMO, WSP and FBSs to reflect their satisfaction and cost in participating into the game and then give the analysis based on the backward induction method. Meanwhile, the competition among FBSs when the WSP allocates spectrum bands for FBSs’ help is formulated as a non-cooperative spectrum competition game (NSCG) and the existence and uniqueness of the Nash equilibrium in NSCG is proved. Simulation results of the two service modes show the WSP can obtain more profits through renting FBSs in poor coverage areas.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Cisco VNI Mobile. Cisco visual networking index: Global mobile data traffic forecast update, 20122017. White Paper (February 2013)
Mansfield, G.: Femtocells in the us market-business drivers and consumer propositions. FemtoCells Europe, 1927–1948 (2008)
Neruda, M., Vrana, J., Bestak, R.: Femtocells in 3g mobile networks. In: 16th International Conference on Systems, Signals and Image Processing, IWSSIP 2009, pp. 1–4. IEEE (2009)
Duan, L., Huang, J., Shou, B.: Investment and pricing with spectrum uncertainty: a cognitive operator’s perspective. IEEE Transactions on Mobile Computing 10(11), 1590–1604 (2011)
Xie, R., Yu, F.R., Ji, H.: Energy-efficient spectrum sharing and power allocation in cognitive radio femtocell networks. In: 2012 Proceedings of IEEE, INFOCOM, pp. 1665–1673. IEEE (2012)
Yi, Y., Zhang, J., Zhang, Q., Jiang, T.: Spectrum leasing to femto service provider with hybrid access. In: 2012 Proceedings of IEEE, INFOCOM, pp. 1215–1223. IEEE (2012)
Yun, S., Yi, Y., Cho, D.-H., Mo, J.: Open or close: on the sharing of femtocells. In: 2011 Proceedings of IEEE, INFOCOM, pp. 116–120. IEEE (2011)
Arulselvan, N., Ramachandran, V., Kalyanasundaram, S., Han, G.: Distributed power control mechanisms for hsdpa femtocells. In: 69th IEEE Vehicular Technology Conference, VTC Spring 2009, pp. 1–5. IEEE (2009)
Li, X., Qian, L., Kataria, D.: Downlink power control in co-channel macrocell femtocell overlay. In: 43rd Annual Conference on Information Sciences and Systems, CISS 2009, pp. 383–388. IEEE (2009)
Chen, Y., Zhang, J., Zhang, Q.: Utility-aware refunding framework for hybrid access femtocell network. IEEE Transactions on Wireless Communications 11(5), 1688–1697 (2012)
Khanafer, A., Saad, W., Basar, T., Debbah, M.: Competition in femtocell networks: Strategic access policies in the uplink. In: 2012 IEEE International Conference on Communications (ICC), pp. 5070–5074. IEEE (2012)
Yang, F., Yang, B., Guan, X.: A game theoretic service trading between the virtual mobile operator and the wireless service provider with assistance of femtocell. Tech. Rep., http://wicnc.sjtu.edu.cn/techreport/yf.pdf
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Yang, F., Yang, B., Guan, X. (2013). The Trading between Virtual Mobile Operator and Wireless Service Provider in the Two-Tier Femtocell Network. In: Ren, K., Liu, X., Liang, W., Xu, M., Jia, X., Xing, K. (eds) Wireless Algorithms, Systems, and Applications. WASA 2013. Lecture Notes in Computer Science, vol 7992. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39701-1_41
Download citation
DOI: https://doi.org/10.1007/978-3-642-39701-1_41
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-39700-4
Online ISBN: 978-3-642-39701-1
eBook Packages: Computer ScienceComputer Science (R0)