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Nature-Inspired-Based PTS for PAPR Reduction in OFDM Systems

Nature-Inspired-Based PTS for PAPR Reduction in OFDM Systems

Mohamed Mounir, Mohamed Bakry El Mashade, Gurjot Singh Gaba
ISBN13: 9781799816263|ISBN10: 1799816265|ISBN13 Softcover: 9781799816270|EISBN13: 9781799816287
DOI: 10.4018/978-1-7998-1626-3.ch004
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MLA

Mounir, Mohamed, et al. "Nature-Inspired-Based PTS for PAPR Reduction in OFDM Systems." Nature-Inspired Computing Applications in Advanced Communication Networks, edited by Govind P. Gupta, IGI Global, 2020, pp. 57-88. https://doi.org/10.4018/978-1-7998-1626-3.ch004

APA

Mounir, M., El Mashade, M. B., & Gaba, G. S. (2020). Nature-Inspired-Based PTS for PAPR Reduction in OFDM Systems. In G. Gupta (Ed.), Nature-Inspired Computing Applications in Advanced Communication Networks (pp. 57-88). IGI Global. https://doi.org/10.4018/978-1-7998-1626-3.ch004

Chicago

Mounir, Mohamed, Mohamed Bakry El Mashade, and Gurjot Singh Gaba. "Nature-Inspired-Based PTS for PAPR Reduction in OFDM Systems." In Nature-Inspired Computing Applications in Advanced Communication Networks, edited by Govind P. Gupta, 57-88. Hershey, PA: IGI Global, 2020. https://doi.org/10.4018/978-1-7998-1626-3.ch004

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Abstract

OFDM is widely used in high data rate applications due to its ability to mitigate frequency selectivity. However, OFDM suffers from high PAPR problem. This degrades the system performance. PTS is a promising PAPR reduction technique. However, its computational complexity is large; to reduce it, different suboptimal solution (heuristics) were presented in literature. Heuristics PTS algorithms can be categorized into descent-heuristics and metaheuristics. In this chapter, descent-heuristics-based PTS and metaheuristics-based PTS are compared. Results showed that RS-PTS is the best one among descent-heuristics algorithms. Metaheuristics algorithms can also be classified into single solution-based methods and nature-inspired methods. Among metaheuristics algorithms, two natural inspired algorithms and one single solution-based methods, namely PSO, ABC, and SA, were selected to be compared with descent-heuristics algorithms. Results showed that PTS based on nature-inspired methods is better than PTS based on descent heuristics and PTS based on single-solution metaheuristics method.

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