Resource Allocation with Flexible Channel Cooperation in Cognitive Radio Networks

International Journal of Computer Science and Engineering

© 2016 by SSRG - IJCSE Journal

Volume 3 Issue 2

Year of Publication : 2016

Authors : S.Jagadeesan, R.Vidya

10.14445/23488387/IJCSE-V3I2P102

How to Cite?

S.Jagadeesan, R.Vidya, "Resource Allocation with Flexible Channel Cooperation in Cognitive Radio Networks," SSRG International Journal of Computer Science and Engineering , vol. 3,  no. 2, pp. 7-14 , 2016. Crossref, https://doi.org/10.14445/23488387/IJCSE-V3I2P102

Abstract:

We study the resource allocation problem in an OFDMA based cooperative cognitive radio network, where secondary users relay data for primary users in order to gain access to the spectrum. In light of user and channel diversity, we first propose FLEC, a novel flexible channel cooperation scheme. It allows secondary users to freely optimize the use of channels for transmitting primary data along with their own, in order to maximize performance. Further, we formulate a unifying optimization framework based on Nash bargaining solutions to fairly and efficiently allocate resources between primary and secondary networks, in both decentralized and centralized settings. We present an optimal distributed algorithm and a sub-optimal centralized heuristic, and verify their effectiveness via realistic simulations. Under the same framework, we also study conventional identical channel cooperation as the performance benchmark, and propose algorithms to solve the corresponding optimization problems.

Keywords:

Cognitive radio, Cooperative Communication, Resource Allocation, Nash bargaining solutions, OFDMA.

References:

[1] H. Xu and B. Li, ―Efficient resource allocation with flexible channel cooperation in OFDMA cognitive radio networks, in Proc. IEEE INFOCOM, 2010.
[2] S. Haykin, ―Cognitive radio: Brain-empowered wireless communications, IEEE J. Sel. Areas Commun., vol. 23, no. 2, pp. 201–220, February 2005.
[3] I. Akyildiz, W.-Y. Lee, M. Vuran, and S. Mohanty, ―Next generation/dynamic spectrum access/cognitive radio wireless networks: A survey, Elsevier Comput. Netw., vol. 50, pp. 2127–2159, September 2006.
[4] O. Simeone, I. Stanojev, S. Savazzi, Y. Bar-Ness, U. Spagnolini, and R. Pickholtz, ―Spectrum leasing to cooperating secondary ad hoc networks, IEEE J. Sel. Areas Commun., vol. 26, no. 1, pp. 203–213, January 2008.
[5] J. Zhang and Q. Zhang, ―Stackelberg game for utility-based cooperative cognitive radio networks, in Proc. ACM MobiHoc, 2009.
[6] IEEE Standard, ―802.16TM: Air interface for fixed wireless access systems, 2005.
[7] A. Sendonaris, E. Erkip, and B. Aazhang, ―User cooperation diversity — Part I: System description, IEEE Trans. Commun., vol. 51, no. 11, pp. 1927–1938, November 2003.
[8] M. Andrews and L. Zhang, ―Scheduling algorithms for multicarrier wireless data systems, in Proc. ACM MobiCom, 2007.
[9] S. Deb, V. Mhatre, and V. Ramaiyan, ―Wimax relay networks: Opportunistic scheduling to exploit multiuser diversity and frequency selectivity, in Proc. ACM MobiCom, 2008. [10] G. Owen, Game Theory. Academic Press, 2001.
[11] F. P. Kelly, A. K. Maulloo, and D. K. H. Tan, ―Rate control for communication networks: Shadow prices, proportional fairness and stability, J. Operat. Res. Soc., vol. 49, no. 3, pp. 237–252, March 1998.
[12] S. Boyd and A. Mutapcic, ―Subgradient methods, Lecture notes of EE364b, Stanford University, Winter Quarter 2006- 2007. http://www.stanford.edu/class/ee364b/notes/subgrad method notes.pdf.
[13] T. C.-Y. Ng and W. Yu, ―Joint optimization of relay strategies and resource allocations in cooperative cellular networks, IEEE J. Sel. Areas Commun., vol. 25, no. 2, pp. 328–339, February 2007.
[14] H. Xu and B. Li, ―XOR-assisted cooperative diversity in OFDMA wireless networks: Optimization framework and approximation algorithms, in Proc. IEEE INFOCOM, 2009.
[15] Z. Zhang, J. Shi, H.-H. Chen, M. Guizani, and P. Qiu, ―A cooperation strategy based on Nash bargaining solution in cooperative relay networks, IEEE Trans. Veh. Technol., vol. 57, no. 4, pp. 2570–2577, July 2008.