Peak-to-average power ratio reduction using backtracking search optimization algorithm in OFDM systems.

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Bibliographic Details
Title:	Peak-to-average power ratio reduction using backtracking search optimization algorithm in OFDM systems.
Authors:	TAŞPINAR, Necmi¹, TOKUR BOZKURT, Yüksel² tokur@gantep.edu.tr
Source:	Turkish Journal of Electrical Engineering & Computer Sciences. 2016, Vol. 24 Issue 4, p2307-2316. 10p.
Subjects:	Orthogonal frequency division multiplexing, Backtrack programming, Search algorithms, Mathematical optimization, Scheme programming language, Data transmission systems
Abstract:	A peak-to-average power ratio (PAPR) reduction method for an orthogonal frequency division multiplexing (OFDM) system based on a combination of a partial transmit sequence (PTS) scheme with the backtracking search optimization algorithm (BSA) is proposed. The PTS scheme shows good PAPR reduction performance; however, it requires a complex computation to search the set of optimum phase factors, especially for high-speed data transmissions. To minimize the complexity of the search for optimum phase factors, the PTS scheme is combined with the BSA. The BSA is a new and efficient population-based evolutionary search algorithm for real-valued optimization problems. A set of simulations is conducted for the PAPR reduction performance and computational complexity comparisons of the BSA-PTS scheme with different PTS schemes. Simulation results indicate that the BSA-PTS scheme yields an effective PAPR reduction performance with low computational complexity. [ABSTRACT FROM AUTHOR]
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Database:	Engineering Source

Description
Abstract:	A peak-to-average power ratio (PAPR) reduction method for an orthogonal frequency division multiplexing (OFDM) system based on a combination of a partial transmit sequence (PTS) scheme with the backtracking search optimization algorithm (BSA) is proposed. The PTS scheme shows good PAPR reduction performance; however, it requires a complex computation to search the set of optimum phase factors, especially for high-speed data transmissions. To minimize the complexity of the search for optimum phase factors, the PTS scheme is combined with the BSA. The BSA is a new and efficient population-based evolutionary search algorithm for real-valued optimization problems. A set of simulations is conducted for the PAPR reduction performance and computational complexity comparisons of the BSA-PTS scheme with different PTS schemes. Simulation results indicate that the BSA-PTS scheme yields an effective PAPR reduction performance with low computational complexity. [ABSTRACT FROM AUTHOR]
ISSN:	13000632
DOI:	10.3906/elk-1401-260