Abstract
The ever-increasing demand for higher data rates in wireless commutations provides a rationale for small cells deployment. While the physical and technological aspects of small-cell networks have been extensively studied in recent years, the economic analysis has received much less attention. We focus on the economic rationale for a small-cell service provider (SSP) operating a market where an incumbent macrocell service provider (MSP) exists, and competition develops. We analyze such scenario for the case of fixed users by means of Game Theory, specifically through a two-stage game: in the first stage each service provider posts its price according to a Stackelberg game where the MSP is the leader and the SSP is the follower; and, in the second stage, each user chooses both which provider to subscribe to and the optimal amount of bandwidth. A subgame perfect Nash equilibrium is used as a solution concept, and it is derived analytically. We show that the SSP has an incentive to operate in the market and its profit gets higher as SSP’s resources increase. Furthermore, users benefit from SSP’s operation, which may provide a rationale for a regulatory authority to grant the SSP access to the market, despite the fact that MSP’s profit is harmed. Finally, we identify two modes of operation of the system, which depend on the SSP coverage: one where SSP’s deployment is limited and the MSP strategy is not affected by SSP competition and takes only the users outside the SSP coverage; and another, where the SSP covers a large area and the MSP competes against the SSP taking a fraction of the users inside the small cells.
Similar content being viewed by others
Explore related subjects
Discover the latest articles, news and stories from top researchers in related subjects.Notes
Actually, the spectral efficiency is not upper limited by a value of 1. Nevertheless, by using a spectral efficiency equal to 1 for the SSP and a spectral efficiency in the interval \(\left[ 0, 1\right] \) for the MSP, we are just normalizing the maximum spectral efficiency attainable by the MSP to the one achieved by the SSP.
References
Andrews, J. G., Claussen, H., Dohler, M., Rangan, S., & Reed, M. C. (2012). Femtocells: Past, present, and future. IEEE Journal on Selected Areas in Communications, 30(3), 497–508. doi:10.1109/JSAC.2012.120401.
Barron, E. N. (2013). Game theory: An introduction (Vol. 2). John Wiley & Sons.
Chandrasekhar, V., Andrews, J. G., & Gatherer, A. (2008). Femtocell networks: A survey. IEEE Communications Magazine, 46(9), 59–67. doi:10.1109/MCOM.2008.4623708.
Duan, L., Huang, J., & Shou, B. (2010). Competition with dynamic spectrum leasing. In: IEEE Symposium on New Frontiers in Dynamic Spectrum (DySPAN), pp. 1–11. doi:10.1109/DYSPAN.2010.5457903.
Duan, L., Huang, J., & Shou, B. (2013). Economics of femtocell service provision. IEEE Transactions on Mobile Computing, 12, 2261–2273.
Duan, L., Shou, B., & Huang, J. (2012). Capacity allocation and pricing strategies for wireless femtocell services. CoRR abs/1205.1196. http://arxiv.org/abs/1205.1196.
El-Atty, S. M. A., & Gharsseldien, Z. M. (2016). Backhaul metro cell-based guard channel in femto/macro cellular heterogeneous networks. Telecommunication Systems, 61(4), 645–658. doi:10.1007/s11235-015-0059-9.
Federal Communications Commission. (2003). Report and Order (FCC 05-57): Facilitating opportunities for flexible, efficient and reliable spectrum agile radio technologie. ET Docket No. 03–108.
Goldsmith, A. (2005). Wireless communications. Cambridge: Cambridge University Press.
Guijarro, L., Pla, V., Vidal, J. R., & Martinez-Bauset, J. (2012). Femtocell operator entry decision with spectrum bargaining and service competition. IEEE Communications Letters, 16(12), 1976–1979. doi:10.1109/LCOMM.2012.101712.121645.
Gupta, A., & Jha, R. K. (2015). A survey of 5G network: Architecture and emerging technologies. IEEE Access, 3, 1206–1232. doi:10.1109/ACCESS.2015.2461602.
Fu, H. L., Lin, P., & Lin, Y. B. (2013). Reducing signaling overhead for femtocell/macrocell networks. IEEE Transactions on Mobile Computing, 12(8), 1587–1597. doi:10.1109/TMC.2012.132.
Kang, X., Zhang, R., & Motani, M. (2012). Price-based resource allocation for spectrum-sharing femtocell networks: A stackelberg game approach. IEEE Journal on Selected Areas in Communications, 30(3), 538–549. doi:10.1109/JSAC.2012.120404.
Landstrom, S., Furuskar, A., Johansson, K., Falconetti, L., & Kronestedt, F. (2011). Heterogeneous networks increasing cellular capacity. Ericsson Review, 89(3), 4–9.
Ogawa, K., Hattori, T., & Yoshida, H. (1994). Optimum multi-layered cell architecture for personal communication systems with high degree of mobility. In: IEEE 44th Vehicular Technology Conference, pp. 644–648.
Romero, J., & Guijarro, L. (2013). Competition between primary and secondary operators with spectrum leasing and optimal spectrum subscription by users. In: IEEE 24th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC Workshops), pp. 143–147. doi:10.1109/PIMRCW.2013.6707853.
Sandler, K. (2009, February). House calls: Femtocells promise to boost the cellphone signals inside your home. The Wall Street Journal.
Sengupta, S., & Chatterjee, M. (2009). An economic framework for dynamic spectrum access and service pricing. IEEE/ACM Transactions on Networking, 17(4), 1200–1213. doi:10.1109/TNET.2008.2007758.
Shetty, N., Parekh, S., & Walrand, J. (2009). Economics of femtocells. In: IEEE Global Telecommunications Conference, GLOBECOM, pp. 1–6. doi:10.1109/GLOCOM.2009.5426129.
LaVallee, A. (2009). AT&T to New York and San Francisco: We are working on it. The Wall Street Journal.
Wardrop, J. (1952). Some theoretical aspects of road traffic research. Proceedings of the Institute of Civil Engineers, 1, 325–378.
Yi, Y., Zhang, J., Zhang, Q., & Jiang, T. (2012). Spectrum leasing to femto service provider with hybrid access. In: Proceedings IEEE INFOCOM, pp. 1215–1223. doi:10.1109/INFCOM.2012.6195482.
Yun, S., Yi, Y., Cho, D. H., & Mo, J. (2011). Open or close: On the sharing of femtocells. In: Proceedings IEEE INFOCOM, pp. 116–120. doi:10.1109/INFCOM.2011.5934894.
Zhang, H., Huang, L., Xu, H., & Sun, Q. (2015). Cooperative optimal pricing for stochastic access control in overlaid radio access networks. Telecommunication Systems, 60(1), 3–16.
Zhu, K., Hossain, E., & Niyato, D. (2014). Pricing, spectrum sharing, and service selection in two-tier small cell networks: A hierarchical dynamic game approach. IEEE Transactions on Mobile Computing, 13(8), 1843–1856. doi:10.1109/TMC.2013.96.
Acknowledgements
This work was supported by the Spanish Ministry of Economy and Competitiveness through Grants TIN2013-47272-C2-1-R and BES-2011-045551.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Romero, J., Guijarro, L., Pla, V. et al. Price competition between a macrocell and a small-cell service provider with limited resources and optimal bandwidth user subscription: a game-theoretical model. Telecommun Syst 67, 195–209 (2018). https://doi.org/10.1007/s11235-017-0331-2
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11235-017-0331-2