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Opportunistic power allocation strategies and fair subcarrier allocation in OFDM-based cognitive radio networks

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Abstract

In this paper we have studied the subcarrier and optimal power allocation strategy for OFDM-based cognitive radio (CR) networks. Firstly, in order to protect the primary user communication from the interference of the cognitive user transmissions in fading wireless channels, we design an opportunistic power control scheme to maximize the cognitive user capacity without degrading primary user’s QoS. The mathematical optimization problem is formulated as maximizing the capacity of the secondary users under the interference constraint at the primary receiver and the Lagrange method is applied to obtain the optimal solution. Secondly, in order to limit the outage probability within primary user’s tolerable range we analyze the outage probability of the primary user with respect to the interference power of the secondary user for imperfect CSI. Finally, in order to get the better tradeoff between fairness and system capacity in cognitive radio networks, we proposed an optimal algorithm of jointing subcarrier and power allocation scheme among multiple secondary users in OFDM-based cognitive radio networks. Simulation results demonstrate that our scheme can improve the capacity performance and efficiently guarantee the fairness of secondary users.

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References

  1. Mitola, J., et al. (1999). Cognitive radio: making software radios more personal. IEEE Personal Communications, 6(4), 13–18.

    Article  Google Scholar 

  2. Federal Communications Commission. Cognitive radio technologies proceeding (CRTP), ET Docket No. 03-108. Available: http://www.fcc.gov/oet/cognitiveradio/.

  3. Bansal, G., Hossain, M. J., & Bhargava, V. K. (2007). Adaptive power loading for OFDM-based cognitive radio systems. In Proceedings of IEEE ICC (pp. 5137–5142).

    Google Scholar 

  4. Weiss, T., Hillenbrand, J., Krohn, A., & Jondral, F. K. (2004). Mutual interference in OFDM-based spectrum pooling systems. In Proc. of IEEE vehicular technol. conf. (Vol. 4, pp. 1873–1877).

    Google Scholar 

  5. Wyglinski, M. (2006). Effects of bit allocation on non-contiguous multicarrier-based cognitive radio transceivers. In Proc. 64th IEEE veh. technol. conf., fall, Montreal, Canada, Sept., 2006.

    Google Scholar 

  6. Attar, O. Holland, Nakhai, M. R., & Aghvami, A. H. (2008). Interference-limited resource allocation for cognitive radio in orthogonal frequency-division multiplexing networks. IET Commununications, 2, 806–814.

    Article  Google Scholar 

  7. Zhang, Y., & Leung, C. (2008). Subcarrier, bit and power allocation for multiuser OFDM-based multi-cell cognitive radio systems. In Proceedings of IEEE VTC (pp. 1–5).

    Google Scholar 

  8. Zhang, Y. (2008). Resource allocation for OFDM-based cognitive radio system. British: University of British Columbia.

    Google Scholar 

  9. Duy, T., & Tellamubura, C. (2009). Resource allocation for OFDM-based cognitive multicast networks. In Proc. of IEEE WCNC (pp. 1–6).

    Google Scholar 

  10. Qin, T., & Leung, C. (2007). Fair adaptive resource allocation for multiuser OFDM cognitive radio systems. In Proceedings of IEEE ChinaCom (pp. 115–119).

    Google Scholar 

  11. Cheng, P., Zhang, Z., Huang, H., & Qiu, P. (2008). A distributed algorithm for optimal resource allocation in cognitive OFDMA systems. In Proc. IEEE int. conf. communications (ICC), May 2008 (pp. 4718–4723).

    Google Scholar 

  12. Chen, Y., Yu, G., & Zhang, Z. (2008). On cognitive radio networks with opportunistic power control strategies in fading channels. IEEE Transaction on Wireless Communications, 7, 2752–2761.

    Article  Google Scholar 

  13. Eswaran, K., Gastpar, M., & Ramchandran, K. (2007). Bits through ARQs: spectrum sharing with a primary packet system. In Proc. IEEE international symposium on information theory (ISIT), June 2007 (pp. 2171–2175).

    Google Scholar 

  14. Ganesan, G., & Li, Y. (2005). Cooperative spectrum sensing in cognitive radio networks. In IEEE int. symp. new front. dyn. spectrum access networks (DySPAN), Nov. 2005 (pp. 137–143).

    Google Scholar 

  15. Boyd, S., & Vandenberge, L. (2004). Convex optimization. Cambridge: Cambridge University Press.

    Google Scholar 

  16. Shaat, M., & Bader, F. (2010). Computationally efficient power allocation algorithm in multicarrier-based cognitive radio networks: OFDM and FBMC systems. EURASIP Journal on Advances in Signal Processing, 2010, 13.

    Article  Google Scholar 

  17. Hashmi, Z. H. (2008). Dynamic resource allocation for cognitive radio systems. British: University of British Columbia.

    Google Scholar 

  18. Bansal, G., Hossain, M. J., & Bhargava, V. K. (2008). Optimal and suboptimal power allocation schemes for OFDM-based cognitive radio systems. IEEE Transactions on Wireless Communications, 7(11), 4710–4718.

    Article  Google Scholar 

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Correspondence to Lun Tang.

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Tang, L., Chen, Q., Wang, G. et al. Opportunistic power allocation strategies and fair subcarrier allocation in OFDM-based cognitive radio networks. Telecommun Syst 52, 2071–2082 (2013). https://doi.org/10.1007/s11235-011-9486-4

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