Browse > Article

PAPR Reduction Techniques Analysis of Non-Contiguous OFDM in Cognitive Radio Systems  

Jeon, Seok-Hun (Soongsil University)
Oh, Jin-O (Soongsil University)
Seo, Man-Jung (Soongsil University)
Im, Sung-Bin (Soongsil University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea TC / v.48, no.9, 2011 , pp. 27-34 More about this Journal
Abstract
Cognitive Radio, which is proposed to improve the efficiency of wireless communication systems is the system to share primary user's frequency bands with a secondary user. In this situation, a secondary user uses NC-OFDM (Non-contiguous Orthogonal Frequency Division Multiplexing) to transmit data effectively without interfering with the primary user's spectrum. However, NC-OFDM, in common with contiguous OFDM, degrades the performance of the system by generating high PAPR (Peak-to-Average Power Ratio). In this paper, firstly, we analyse PAPR corresponding to the distribution of subcarriers in NC-OFDM. Then the PAPR reductions that employ the PTS (Partial Transmit Sequence) and SLM (Selective Mapping) are evaluated. Finally, the computational complexities of the PTS and SLM adopting pruned-FFT are compared with conventional PTS and SLM. Further, it is shown that the NC-OFDM with pruned-FFT is more efficient than the contiguous OFDM in terms of computational complexity and PAPR reduction performance.
Keywords
Cognitive Radio; NC-OFDM; PAPR; pruned FFT;
Citations & Related Records
연도 인용수 순위
  • Reference
1 R .W. Bauml, R. F. H. Fischer, and J. B. Huber, "Reducing the peak to average power ratio of multicarrier modulation by selective mapping," Electron. Lett., vol. 32, pp. 2056-2057, Oct. 1996.   DOI   ScienceOn
2 S. H. Muller and J. B. Huber, "OFDM with reduced peak to average power ratio by optimum combination of partial transmit sequences," Electron. Lett., vol. 33, pp. 368-369, Feb. 1997.   DOI   ScienceOn
3 R. J. Baxley and G. T. Zhou, "Computational complexity analysis of FFT pruning--A Markov modeling approach," in Proc. 4th Digital Signal Processing Workshop/12th Signal Processing Education Workshop, pp. 535-539, Sep. 2006.
4 H. Ochiai and H. Imai, "On the distribution of the peak-to-average power ratio in OFDM signals," IEEE Trans. Commun., vol. 49, pp. 282-289, Feb. 2001.   DOI   ScienceOn
5 R. van Nee and A. de Wild, "Reducing the peak-to-average power ratio of OFDM," in Proc. 48th IEEE Veh. Technol. Conf., (Ottawa, Canada), pp. 2072-2076, May 1998.
6 R. Rajbanshi, A. M. Wyglinski, and G. J. Minden, "Peak-to-Average Power Ratio Analysis for NC-OFDM Transmissions," in Proc. 66th IEEE Veh. Technol. Conf., (Baltimore, MD, USA), pp. 1351-1355, Sep. 2007.
7 J. Armstrong, "Peak-to-average power reduction for OFDM by repeated clipping and frequency domain filtering," Electron. Lett., vol. 38, pp. 246-247, Feb. 2002.   DOI   ScienceOn
8 J. D. Markel, "FFT Pruning," IEEE Trans. Audio Electroacoust., vol. 19, pp. 305-311, Dec. 1971.   DOI
9 S. Haykin, "Cognitive radio: Brain-empowered wireless communications," IEEE J. Select. Areas Commun., vol. 23, pp. 201-220, Feb. 2005.
10 R. Rajbanshi, A. M. Wyglinski, and G. J. Minden, "An efficient implementation of NCOFDM transceivers for cognitive radios," in Proc. 1st Int. Conf. on Cogn. Radio Oriented Wireless Networks and Commun., (Mykonos, Greece), Jun. 2006.