Abstract
Bit allocation scheme for cognitive OFDM with base station cooperation (BSC) in primary network is discussed in this correspondence. Under this circumstance, the optimization problem is formulated to minimize the interference to the primary BSC network, in order to guarantee the fixed rates for cognitive user transmission. With the knowledge of channel state information (CSI) in the interference channel, the optimal solutions can be solved by Lagrange optimum methods. Furthermore, bit assignment and access ability of cognitive users are analyzed in BSC model. Relationship of primary interference power and secondary allocated bits are presented. Simulation results indicate that, the access ability of cognitive user is significantly enhanced by BSC in comparison with non-cooperative primary network scenario, and the corresponding interference power could be reduced significantly with the proposed optimal bit assignment scheme.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
FCC: Spectrum Policy Task Force Report. FCC 02-155 (2002)
Mitola, J.: Cognitive Radio: An Integrated Agent Architecture for Software Defined Radio. Royal Institution Technology, Stockholm (2000)
Haykin, S.: Cognitive Radios: Brain-Empowered Wireless Communication. IEEE Journal on Selected Aeras in Communications 23(2), 12–18 (2005)
Shamai, S., Somekh, O., Zaidel, B.: Multi-cell Communications: an Information Theoretic Perspective. In: Proceedings of Internation Joint Workshop on Communications and Coding, Donnini (Florence), Italy (2004)
Goldsmith, A.: Wireless Communications, pp. 208–209. Cambridge University Press (2005)
Biglieri, E., Proakis, J., Shamai, S.: Fading Channels: Information-Theoretic and Communications Aspects. IEEE Transactions on Information Theory 44(6), 2619–2692 (1998)
Babai, A., Saltzberg, B., Ergen, M.: Multi-carrier Digital Communications-Theory and Applications of OFDM, 2nd edn. Springer, New York (2004)
Patzold, M.: Mobile Fading Channels. Wiley, New York (2002)
Erceg, V., et al.: An Empirically Based Path Loss Model for Wireless Channels in Suburban Environments. IEEE Journal on Selected Aeras in Communications, 1205–1211 (1999)
Saad, W., Han, Z., Basar, T., Hjorungnes, A., et al.: Hedomic Coalition Formation Games for Secondary Base Station Cooperation in Cognitive Radio Networks. In: Proceedings of 2010 IEEE Wireless Communications and Networking Conference (WCNC 2010), pp. 1–6 (2010)
Sun, D.W., Zheng, B.Y.: A Novel Resource Allocation Algorithm in Multi-media Heterogeneous Cognitive OFDM System. KSII Transactions on Internet and Information Systems 4(5), 691–708 (2010)
Li, L., Zheng, B.Y.: A Time-Sharing Resource Allocation Method in Heterogeneous Cognitive OFDM Networks. In: Proceedings of 2010 IEEE Wireless Communications and Signal Processing (WCSP 2010), pp. 1–5 (2010)
Lee, C.W., Jeon, G.J.: Low Complexity Bit Allocation Algorithm for OFDM Systems. International Journal of Communication Systems 21, 1171–1179 (2008)
Kang, X., Liang, Y.C., Nallanathan, A., Garg, H.K.: Optimal Power Allocation for Fading Channels in Cognitive Radio Networks: Ergodic Capacity and Outage Capacity. IEEE Transactions on Wireless Communications 8(2), 940–950 (2009)
Li, L., Zheng, B.Y.: Power Allocation for Cognitive OFDM with Separated Interference Limits. In: Proceedings of IET 3rd International Conference on Wireless, Mobile and Multimedia Networks (ICWMMN 2010), pp. 187–190 (2010)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Xu, X., Huang, A., Zhang, J., Zheng, B. (2012). Bit Allocation Scheme with Primary Base Station Cooperation in Cognitive Radio Network. In: Wang, X., Zheng, R., Jing, T., Xing, K. (eds) Wireless Algorithms, Systems, and Applications. WASA 2012. Lecture Notes in Computer Science, vol 7405. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31869-6_15
Download citation
DOI: https://doi.org/10.1007/978-3-642-31869-6_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31868-9
Online ISBN: 978-3-642-31869-6
eBook Packages: Computer ScienceComputer Science (R0)