Abstract
Cognitive radio (CR) technology is viewed as a novel approach for maximizing the utilization of the radio electromagnetic spectrum. Spectrum sensing methods are often used for finding free channels to be used by CR. Recently, Orthogonal Frequency Division Multiplexing system (OFDM) has been suggested as a candidate technology for multicarrier-based CR systems. However, one problem that appears in OFDM systems is the high Peak to Average Power Ratio (PAPR). In this paper, the effect of PAPR reduction of the primary signal on the performance of the multiband joint detection for wideband spectrum sensing and the profit of the primary user will be investigated. Moreover, the optimal solutions for the multi-band joint detection for the non-cooperative and cooperative schemes will be analyzed by considering the primary user’s PAPR reduction. Also, the wideband cooperative spectrum sensing to improve the signal detection with high reduction in the PAPR will be suggested. Simulation results show that the PAPR reduction decreases the total price of the primary user and the aggregate opportunistic throughput of the secondary user. The cooperative scheme is effective in improving the performance in terms of the aggregate opportunistic throughput with PAPR reduction.
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References
Federal Communications Commission (2002). Spectrum Policy Task Force Report, FCC Document ET Docket No. 02-155, Nov. 2002.
Notice of Proposed Rulemaking on Cognitive Radio (2003). Federal Communications Commission (FCC) Std. No. 03-322, Dec. 2003.
Misra, S., Dohler, M., Vasilakos, A., & Nicopolitidis, P. (2011). Challenges in next-generation and resource-constrained networks. Telecommunications Systems (May).
Mitola, J. (2000). Cognitive radio: an integrated agent architecture for software defined radio. Ph.D. Thesis, KTH, Stockholm, Sweden.
Haykin, S. (2005). Cognitive radio: brain-empowered wireless communications. IEEE Journal on Selected Areas in Communications, 23(2), 201–220.
Kumar, S., Sahay, J., Mishr, G., & Kumar, S. (2011). Cognitive radio concept and challenges in dynamic spectrum access for the future generation wireless communication systems. Wireless Personal Communications, 59, 525–535.
Sahai, A., & Cabric, D. (2005). A tutorial on spectrum sensing: fundamental limits and practical challenges. In IEEE DySPAN, Baltimore, MD, Nov. 2005.
Wang, W., Wu, K., Luo, H., Yu, G., & Zhang, Z. (2011). Sensing error aware delay-optimal channel allocation scheme for cognitive radio networks. Telecommunications Systems (Jun.).
Cabric, D., Mishra, S. M., & Brodersen, R. W. (2004). Implementation issues in spectrum sensing for cognitive radios. In IEEE asilomar conf. signals, systems and computers (Vol. 1, pp. 772–776), Nov. 2004.
Tang, H. (2005). Some physical layer issues of wide-band cognitive radio systems. In IEEE int. conf. wireless networks, commun. and mobile computing (pp. 151–159), Nov. 2005.
Chandran, A., Karthik, R., Kumar, A., Naidu, R., Siva, M., Iyer, U., & Ramanathan, R. (2011). A novel spectrum sensing technique for low signal to noise ratio conditions. In International conference on emerging trends in electrical and computer technology (ICETECT) (pp. 681–685), Mar. 2011.
Digham, F. F., Alouini, M. S., & Simon, M. K. (2007). On the energy detection of unknown signals over fading channels. IEEE Transactions on Communications, 55(1).
Tang, L., Chen, Q., Wang, G., Zeng, X., & Wang, H. (2011). Opportunistic power allocation strategies and fair subcarrier allocation in OFDM-based cognitive radio networks. Telecommunications Systems (Jun.).
Rajbanshi, R. (2007). OFDM-based cognitive radio for DSA networks. PHD Thesis, the University of Kansas, USA.
Han, Q., Clarkson, V., & Zeng, X. (2010). Joint algorithm for peak-to-average power reduction of NC-OFDM system. In 3rd international congress on image and signal processing (CISP) (Vol. 9, pp. 4399–4403).
Xin, L., Qihui, W., & Yang, Y. (2010). A new SLM OFDM scheme with low complexity for PAPR reduction in CR system. In IEEE international conference on wireless information technology and systems (ICWITS) (pp. 1–4).
Shao, J., & Liang, X. (2009). A new approach for PAPR reduction of NC-OFDM system based on cognitive radio. In 5th International conference on wireless communications, networking and mobile computing (pp. 1–4).
Zhao, C., Liu, D., Sun, X., & Jiang, T. (2011). Deepen spectrum notch and reduce PAPR in OFDM systems via combining subcarriers precoding with tone reservation. Journal of China Universities of Posts and Telecommunications, 18, 80–84.
Arasu, C., Nagrale, S., & Lakshminarayanan, G. (2011). FPGA implementation of adaptive mode PAPR reduction for cognitive radio applications. In International conference on communication systems and network technologies (CSNT) (pp. 444–448), Jun. 2011.
Wang, G. (2009). Performance of collaborative spectrum sensing in a cognitive radio system, Master Thesis. The University of British Columbia.
Letaief, K., & Zhang, W. (2009). Cooperative communications for cognitive radio networks. Proceedings of the IEEE, 97, 878–893.
Sakran, H., & Shokair, M. (2011). Hard and softened combination for cooperative spectrum sensing over imperfect channels in cognitive radio networks. Telecommunications Systems (Jun.).
Mishra, S. M., Sahai, A., & Broderson, R. W. (2006). Cooperative sensing among cognitive radios. In IEEE international conference on communications (ICC ’06).
Barkat, M. (2005). Signal detection and estimation (2nd edn.). Norwood: Artech House.
Quan, Z., Cui, S., Sayed, A., & Poor, H. (2008). Wideband spectrum sensing in cognitive radio networks. In IEEE international conference on communications (pp. 901–906).
Chen, H., & Haimovich, A. (2003). Iterative estimation and cancellation of clipping noise for OFDM signals. IEEE Communications Letters, 7, 305–307.
Singh, S., Kumar, M., & Mruthyunjaya, H. (2009). Effect of peak-to-average power ratio reduction on the multicarrier communication system performance parameters. International Journal of Electrical and Computer Engineering, 779–786.
Ghasemi, A., & Sousa, E. S. (2005). Collaborative spectrum sensing for opportunistic access in fading environments. In Proc. 1st IEEE symp. new frontiers in dynamic spectrum access networks, Baltimore, USA, Nov. 2005 (pp. 131–136).
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Sakran, H., Shokair, M., El-Rabaie, E.S. et al. Study the effect of PAPR on wideband cognitive OFDM radio networks. Telecommun Syst 53, 469–478 (2013). https://doi.org/10.1007/s11235-013-9708-z
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DOI: https://doi.org/10.1007/s11235-013-9708-z