Hybrid Relaying Protocol for Joint Power and Subcarrier Allocation for OFDM Based Cognitive Radio Networks
- 1 Department of Electronics and Communication Engineering, Indra Ganesan College of Engineering, Trichy, India
- 2 Adhi Parasakthi College of Engineering, Kalavai, India
Abstract
This paper aims to avoid the interference imposed by the secondary user on a primary user in Cognitive Radio Network (CRN). In CRN, the interference from secondary user enforced on primary user mainly depends on spectral interval between primary and secondary systems. Moreover, it also depends on the power allocated to the secondary user. In order to avoid interference imposed by secondary user on primary user, a Hybrid Relaying Protocol for Joint Power and Subcarrier Allocation for Orthogonal Frequency Division Multiplexing (OFDM) based Cognitive Radio Networks is proposed. In hybrid relaying protocol, a secondary user uses amplify and forward (AF) protocol and decode and forward (DF) protocol based on the requirement to maximize network throughput. A greedy algorithm is proposed for the selection of relay to get the optimal solution. Moreover, an efficient hybrid power and subcarrier algorithm is used by considering interference constraint imposed by cognitive network to the primary user.
- Bansal, G., Hasan, Z., Hossain, M.J. and Bhargava, V.K. (2010) Subcarrier and Power Adaptation for Multiuser OFDM-Based Cognitive Radio Systems. IEEE National Conference on Communications, Chennai, 29-31 January 2010, 1-5. http://dx.doi.org/10.1109/ncc.2010.5430230
- Zhang, P., Yang, L.X. and Liu, X. (2010) Subcarrier and Power Allocation in OFDM-Based Cognitive Radio Systems. International Journal of Computer Network and Information Security, 2, 24-30. http://dx.doi.org/10.5815/ijcnis.2010.01.04
- Sohail, A., Al-Imari, M., Xiao, P. and Evans, B.G. (2013) Optimal Power Allocation for MIMO-OFDM Based Cognitive Radio Systems with Arbitrary Input Distributions. Proceedings of IEEE 24th International Symposium on Personal, Indoor and Mobile Radio Communications, London, 8-11 September 2013, 1909-1913.
- Van Vinh, N. and Shouyi, Y. (2014) Power Allocation Algorithm in OFDM-Based Cognitive Radio Systems. 2014 International Conference on Computing, Management and Telecommunications, Da Nang, 27-29 April 2014, 13-18.
- Hasan, Z., Bansal, G., Hossain, E. and Bhargava, V.K. (2009) Energy-Efficient Power Allocation in OFDM-Based Cognitive Radio Systems: A Risk-Return Model. IEEE Transactions on Wireless Communications, 8, 6078-6088. http://dx.doi.org/10.1109/twc.2009.12.090394
- Wang, S., Huang, F. and Wang, C. (2012) Adaptive Proportional Fairness Resource Allocation for OFDM-Based Cognitive Radio Networks. Wireless Network, 19, 273-284.
- Kang, X., Garg, H.K., Liang, Y.C. and Zhang, R. (2010) Optimal Power Allocation for OFDM-Based Cognitive Radio with New Primary Transmission Protection Criteria. IEEE Transactions on Wireless Communications, 9, 2066-2075. http://dx.doi.org/10.1109/twc.2010.06.090912
- Wang, Y., Xu, W., Yang, K. and Lin, J. (2012) Optimal Energy-Efficient Power Allocation for OFDM-Based Cognitive Radio Networks. IEEE Communications Letters, 16, 1420-1423. http://dx.doi.org/10.1109/lcomm.2012.070512.120662
- Ekin, S., Abdallah, M.M., Qaraqe, K.A. and Serpedin, E. (2012) Random Subcarrier Allocation in OFDM-Based Cognitive Radio Networks. IEEE Transactions on Signal Processing, 60, 4758-4774. http://dx.doi.org/10.1109/TSP.2012.2203126
- Yu, H., Tang, W. and Li, S. (2012) Bandwidth and Power Allocation for Cooperative Relay in Cognitive Radio Networks. EURASIP Journal on Advances in Signal Processing, 1, 1-10. http://dx.doi.org/10.1186/1687-6180-2012-224
- Fathi, H. and Sadough, S.M.S.S. (2013) Robust Power and Subcarrier Allocation for OFDM-Based Cognitive Radio Networks Considering Spectrum Sensing Uncertainties. Radio Engineering, 22, 810-817.