Abstract
With the rapid growth of wireless devices and applications, limited spectrum resource has become the bottleneck of network development. Cognitive radio has emerged as a promising approach to address spectrum scarcity by opening the access of idle licensed spectrum, owned by Primary Users (PUs), to unlicensed users, i.e., Secondary Users (SUs). This process involves two significant challenges: how to encourage PUs to open the access of licensed spectrum and how to assign the bandwidth among SUs. Additionally, the amount of residual bandwidth of a PU is always limited and an SU’s bandwidth demand is always lower-bounded according to Quality of Service (QoS) requirements. Therefore, it is essential to assign the bandwidth on the basis of bandwidth limitation and QoS requirement. In this paper, we propose an iterative auction scheme, in which PUs and SUs form a market and trade the bandwidth, to jointly address the problems above. We incorporate the price scheduling process into our auction design. The simulation results verifies the convergence and efficiency of our auction scheme.
Similar content being viewed by others
References
FCC. E. (2003). Docket no 03–222 notice of proposed rule making and order.
Zhang, R., Liang, Y. C., & Cui, S. (2010). Dynamic resource allocation in cognitive radio networks. IEEE Signal Processing Magazine, 27(3), 102.
Farsad, N., & Eckford, A. (2012). Resource allocation via linear programming for fractional cooperation. IEEE Transactions on Wireless Communications, 11(5), 1633.
Zaki, A., & Fapojuwo, A. (2011). Optimal and efficient graph-based resource allocation algorithms for multiservice frame-based OFDMA networks. IEEE Transactions on Mobile Computing, 10(8), 1175.
Zhang, Y., Lee, C., Niyato, D., & Wang, P. (2013). Auction approaches for resource allocation in wireless systems: A survey. IEEE Communications Surveys Tutorials, 15(3), 1020.
Niyato, D., & Hossain, E. (2008). Spectrum trading in cognitive radio networks: A market-equilibrium-based approach. IEEE Wireless Communications, 15(6), 71.
Zhou, X., & Zheng, H. (2009). Trust: A general framework for truthful double spectrum auctions. In Proceedings IEEE INFOCOM, pp. 999–1007.
Xu, H., Jin, J., & Li, B. (2010). A secondary market for spectrum. In Proceedings IEEE INFOCOM, pp. 1–5.
Jing, T., Zhao, C., Xing, X., Huo, Y., Li, W., & Cheng, X. (2013). A multi-unit truthful double auction framework for secondary market. In Proceedings IEEE ICC, pp. 2817–2822.
Feng, X., Chen, Y., Zhang, J., Zhang, Q., & Li, B. (2012). TAHES: Truthful double auction for heterogeneous spectrums. In Proceedings IEEE INFOCOM, pp. 3076–3080.
Chen, Y., Zhang, J., Wu, K., & Zhang, Q. (2013). TAMES: A truthful auction mechanism for heterogeneous spectrum allocation. In Proceedings IEEE INFOCOM, pp. 180–184.
Niyato, D., Hossain, E., & Han, Z. (2009). Dynamics of multiple-seller and multiple-buyer spectrum trading in cognitive radio networks: A game-theoretic modeling approach. IEEE Transactions on Mobile Computing, 8(8), 1009.
Gao, L., Xu, Y., & Wang, X. (2011). Map: Multiauctioneer progressive auction for dynamic spectrum access. IEEE Transactions on Mobile Computing, 10(8), 1144.
Quirk, J. P. (1976). Intermediate microeconomics (Vol. 1). ILL: Science research associates Chicago.
Engel, Y., Wellman, M.P., & Lochner, K.M. (2006). Bid expressiveness and clearing algorithms in multiattribute double auctions. In Proceedings ACM conference on Electronic Commerce, pp. 110–119.
Cui, Y., Ma, T., & Cheng, X. (2011). Multi-hop access pricing in public area WLANs. In Proceedings IEEE INFOCOM, pp. 2678–2686.
Author information
Authors and Affiliations
Corresponding author
Additional information
The authors would like to thank the support from the National Natural Science Foundation of China (Grant No.61172074, 61272505 and 61371069) and the Specialized Research Fund for the Doctoral Program of Higher Education (Grant No.20130009110015).
Rights and permissions
About this article
Cite this article
Zhou, W., Jing, T., Huo, Y. et al. Iterative Auction Based Bandwidth Assignment in CRNs with QoS Provisioning. Wireless Pers Commun 80, 1703–1715 (2015). https://doi.org/10.1007/s11277-014-2108-1
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11277-014-2108-1