Peak-to-Average Power Ratio reduction in Wavelet based OFDM using Modified Selective Mapping for Cognitive Radio Applications

Authors

  • Arjun K R Department of Electronics & Communication, Vidyavardhaka College of Engineering, Mysore, India
  • Surekha T P Department of Electronics & Communication, Vidyavardhaka College of Engineering, Mysore, India

DOI:

https://doi.org/10.48048/wjst.2021.19814

Keywords:

Cognitive radio, Bit Error Rate (BER), Selective Mapping (SLM), Orthogonal Frequency Division Multiplexing (OFDM), Peak-to-Average Power Ratio (PAPR), Wavelets

Abstract

The prospect of guaranteed quality of service for primary and secondary users in the expression of regulated Peak-to-Average Power Ratio (PAPR) and Bit Error Rate (BER) can be increased in Cognitive Radios using Wavelet based OFDM systems which localize spectrum in realms of time and frequency. However, cutting the Gordian knot of high PAPR associated with the Multi-Carrier Modulation schemes to operate in the linear part of the power amplifier nourishing the balance between PAPR and BER is difficult. In this paper, the phase of the subcarriers is altered by a value of finite, equally spaced phase shifts. The frame of Wavelet-based OFDM (WOFDM) with minimum PAPR guarantees the minimum quality of service (QoS) in terms of Throughput. BER is then identified and transmitted. This modification is applied to various Wavelets and compared amongst WOFDM and FFT-based OFDM schemes. The novelty of this paper lies in using Hadamard and/or Toeplitz matrix to generate phase sequences in a modified SLM technique of Wavelet-based OFDM systems while maintaining the minimum required QoS in Cognitive Radios. The result shows that the proposed technique reduces the PAPR compared to unmodified SLM techniques.

HIGHLIGHTS

  • Wavelet based OFDM systems localize spectrum in realms of time and frequency
  • The sinusoid bases function in OFDM has been replaced by Wavelet bases
  • Selective Mapping (SLM) is a popular technique towards PAPR reduction
  • The primary function of the Cognitive Radio system is to identify the spectrum holes

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References

E Biglieri, A Goldsmith, L Greenstein, N Mandayam and H Poor. The concept of cognitive radio. In: Principles of cognitive radio. Cambridge University Press, Cambridge, 2012, p. 1-40.

I Budiarjo, H Nikookar and LP Ligthart. Cognitive radio modulation techniques. IEEE Signal Process. Mag. 2008; 25, 24-34.

H Nikookar. Wavelet radio: Adaptive and reconfigurable wireless systems based on wavelets. Cambridge University Press, Cambridge, 2013.

NT Le, SD Muruganathan and AB Sesay. Peak-to-Average Power Ratio reduction for wavelet packet modulation schemes via basis function design. In: M Almeida (Ed.). Vehicular technologies: Increasing connectivity. Intech Open, 2011.

S Sarowa, N Kumar, S Agrawal and BS Sohi. Evolution of PAPR reduction techniques: A wavelet based OFDM approach. Wireless Pers. Commun. 2020; 115, 1565-88.

D Karamehmedovic, MK Lakshmanan and H Nikookar. Performance of wavelet packet modulation and OFDM in the presence of carrier frequency and phase noise. In: Proceedings of the 2008 European Conference on Wireless Technology, Amsterdam, Netherlands. 2008, p. 166-9.

R Nissel, S Schwarz and M Rupp. Filter bank multicarrier modulation schemes for future mobile communications. IEEE J. Sel. Areas Commun. 2017; 35, 1768-82.

G Kaddoum. Design and performance analysis of a multiuser OFDM based differential chaos shift keying communication system. IEEE Trans. Commun. 2016; 64, 249-60.

MS Iqbal, S Hussain and A Ghafoor. Peak to average power ratio based spatial spectrum sensing for cognitive radio systems. Comput. Electr. Eng. 2017; 63, 30-40.

F Sandoval, G Poitau and F Gagnon. Hybrid Peak-to-Average Power Ratio reduction techniques: Review and performance comparison. IEEE Access. 2017; 5, 27145-61.

B Torun, MK Lakshmanan and H Nikookar. Peak-to-Average Power Ratio reduction of wavelet packet modulation by adaptive phase selection. In: Proceedings of the 21st Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, Istanbul, Turkey. 2010, p. 105-10.

CP Li, SH Wang and CL Wang. Novel low-complexity SLM schemes for PAPR reduction in OFDM systems. IEEE Trans. Signal Process. 2010; 58, 2916-21.

HY Liang. Selective mapping technique based on an adaptive phase-generation mechanism to reduce peak-to-average power ratio in orthogonal frequency division multiplexing systems. IEEE Access 2019; 7, 96712-8.

SP Valluri, V Kishore and VM Vakamulla. A new selective mapping scheme for visible light systems. IEEE Access. 2020; 8, 18087-96.

V Sudha, M Syamkumar and DS Kumar. A low complexity modified SLM and companding based PAPR reduction in localized OFDMA. Wireless Pers. Commun. 2017; 96, 3207-26.

A Singal and D Kedia. Performance analysis of MIMO-OFDM system using SLM with additive mapping and U2 phase sequence for PAPR reduction. Wireless Pers. Commun. 2020; 111, 1377-90.

T Deepa and R Kumar. Performance evaluation of a low complexity row-column transform approach for SLM based OFDM transmission system. Wireless Pers. Commun. 2016; 87, 1357-69.

S Bharati and P Podder. Adaptive PAPR reduction scheme for OFDM using SLM with the fusion of proposed clipping and filtering technique in order to diminish PAPR and signal distortion. Wireless Pers. Commun. 2020; 113, 2271-88.

N Giweli, S Shahrestani and HS Cheung. Spectrum sensing in Cognitive Radio Networks: QoS considerations. In: Proceedings of the 7th International Conference on Networks and Communications, Sydney, Australia. 2015.

5GRANGE. D4.2 - Spectrum Sensing to Complement Databases. 2018.

Y Arjoune, ZE Mrabet, HE Ghazi and A Tamtaoui. Spectrum sensing: Enhanced energy detection technique based on noise measurement. In: Proceedings of the 2018 IEEE 8th Annual Computing and Communication Workshop and Conference, Las Vegas, Nevada. 2018, p. 828-34.

DMM Plata and ÁGA Reátiga. Evaluation of energy detection for spectrum sensing based on the dynamic selection of detection-threshold. Proc. Eng. 2012; 35, 135-43.

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Published

2021-06-12

How to Cite

K R, A. ., & T P, S. . (2021). Peak-to-Average Power Ratio reduction in Wavelet based OFDM using Modified Selective Mapping for Cognitive Radio Applications . Walailak Journal of Science and Technology (WJST), 18(12), Article 19814 (12 pages). https://doi.org/10.48048/wjst.2021.19814