Abstract
Access to broadband Internet services for rural households and businesses in the world has generally been lacking. Broadband helps lift the world’s poorest out of poverty, brings the benefits of education and health care closer to rural and remote populations, and delivers social and economic benefits to all. However, from the service providers (rural entrepreneurs) perspective, there have traditionally been few incentives to provide broadband access to low-income customers. One of the key obstacles has been spectrum scarcity and the high cost of spectrum licenses. White space technology provides a promising approach to provide spectrum, unused by primary users, to secondary users for broadband provisioning. This chapter discusses the challenges of producing an optimal pricing scheme for leasing spectrum from primary users. It proposes a game-theory based solution to the problem of several primary users competing with each other to sell spectrum to secondary users that use QoS measures of delay and throughout to regulate price.
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
References
Akyildiz, I.F., Wang, X.: A survey on wireless mesh networks. IEEE Communications Magazine 43(9), S23–S30 (2005)
Bagula, A.B.: Hybrid routing in next generation ip networks. Comput. commun. 29(7), 879–892 (2006)
Goldsmith, A.J., Chua, S.-G.: Variable-rate variable-power mqam for fading channels. IEEE Trans. Commun. 45(10), 1218–1230 (1997)
Holland, O., De Nardis, L., Nolan, K., Medeisis, A., Anker, P., Minervini, L. F., Velez, F., Matinmikko, M., Sydor, J.: Pluralistic licensing. In: Proceedings of the IEEE International Symposium on Dynamic Spectrum Access Networks (DYSPAN 2012), pp. 33–41 (2012)
Hudson, H.E.: Understanding the Digital Economy. Extending access to the digital economy to rural and developing regions. The MIT Press, Cambridge (2000)
Jagannathan, K., Menache, I., Modiano, E., Zussman, G.: Non-cooperative spectrum access the dedicated vs. free spectrum choice. IEEE J. Sel. Areas Commun. 30(11), 2251–2261 (2012)
Khun-Jush, J., Bender, P., Deschamps, B., Gundlach, M.: Licensed shared access as complementary approach to meet spectrum demands: Benefits for next generation cellular systems. In: ETSI Workshop on reconfigurable radio systems (2012)
Kone, V., Yang, L., Yang, X., Zhao, B.Y., Zheng, H.: On the feasibility of effective opportunistic spectrum access. In: Proceedings of the 10th ACM SIGCOMM conference on Internet measurement, pp. 151–164 (2010)
Lin, P., Jia, J., Zhang, Q., Hamdi, M.: Dynamic spectrum sharing with multiple primary and secondary users. IEEE Trans. Veh. Technol. 60(4), 1756–1765 (2011)
Lu, N., Shen, X.S.: Scaling laws for throughput capacity and delay in wireless networks—a survey. IEEE Communications Surveys and Tutorials (2014)
Matinmikko, M., Palola, M., Saarnisaari, H., Heikkila, M., Prokkola, J., Kippola, T., Hanninen, T., Jokinen, M., Yrjola, S.: Cognitive radio trial environment: First live authorized shared access-based spectrum-sharing demonstration. IEEE Vehicular Technology Magazine 8(3), (2013)
Nash, J.F., et al.: Equilibrium points in n-person games. Proc. Natl. Acad. Sci. 36(1), 48–49 (1950)
Niyato, D., Hossain, E.: Microeconomic models for dynamic spectrum management in cognitive radio networks. In: Cognitive Wireless Communication Networks, pp. 391–423. Springer, New York (2007)
Niyato, D., Hossain, E.: Competitive pricing for spectrum sharing in cognitive radio networks: dynamic game, inefficiency of nash equilibrium, and collusion. J. Sel. Area Commun. 26(1), 192–202 (2008)
Nleya, S. M., Bagula, A., Zennaro, M., Pietrosemoli, E.: A tv white space broadband market model for rural entrepreneurs. In: IEEE Global Information Infrastructure Symposium, pp. 1–6 (2013)
Santivanez, C., Ramanathan, R., Partridge, C., Krishnan, R., Condell, M., Polit, S.: Opportunistic spectrum access: Challenges, architecture, protocols. In: Proceedings of the 2nd annual international workshop on Wireless internet, p. 13 (2006)
Sarah, P.: An update on the state of broadband. URL http://www.unfoundation.org/blog/an-update-on-broadband.html (2012)
Shin, M., Lee, S., Kim, Y.-A.: Distributed channel assignment for multi-radio wireless networks. In: IEEE International Conference on Mobile Adhoc and Sensor Systems (MASS), pp. 417–426 (2006)
Silverman, S. J.: Games theory and software defined radios. In: IEEE Military Communications Conference (MILCOM), pp. 1–7 (2006)
Singh, N., Vives, X.: Price and quantity competition in a differentiated duopoly. RAND J. Econ. 15, 546–554 (1984)
Song, Y., Zhang, C., Fang, Y.: Joint channel and power allocation in wireless mesh networks: A game theoretical perspective. IEEE J. Sel. Area Commun. 26(7), 1149–1159 (2008)
Tang, J., Xue, G., Chandler, C., Zhang, W.: Link scheduling with power control for throughput enhancement in multihop wireless networks. IEEE Trans. Veh. Technol. 55(3), 733–742 (2006)
Zennaro, M., Pietrosemoli, E., Bagula, A., Nleya S.: On the relevance of using affordable tools for white spaces identification. In: IEEE 8th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), pp. 606–611 (2012)
Zheng, S., Tian, H., Hu, Z., Chen, L., Zhu, J.: Qos-guaranteed radio resource allocation with distributed inter-cell interference coordination for multi-cell ofdma systems. In: IEEE 71st Vehicular Technology Conference (VTC 2010-Spring), pp. 1–5 (2010)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Nleya, S.M., Bagula, A., Zennaro, M., Pietrosemoli, E. (2015). A Non-cooperative TV White Space Broadband Market Model for Rural Entrepreneurs. In: Mishra, A., Johnson, D. (eds) White Space Communication. Signals and Communication Technology. Springer, Cham. https://doi.org/10.1007/978-3-319-08747-4_10
Download citation
DOI: https://doi.org/10.1007/978-3-319-08747-4_10
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-08746-7
Online ISBN: 978-3-319-08747-4
eBook Packages: EngineeringEngineering (R0)