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Partial Transmit Sequence Based Cuckoo Search Optimization for Peak-to-Average Power Ratio Reduction in Orthogonal Frequency Division Multiplexing Systems

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This paper considers the use of Partial Transmit Sequence (PTS) technique to reduce the Peak-to-Average Power Ratio (PAPR) of an Orthogonal Frequency Division Multiplexing (OFDM) signal in wireless communication systems. Search complexity for optimal phase vector is very high in traditional PTS (T-PTS) scheme, since it involves extensive random search over all the combinations of allowed phase vectors and increases exponentially with the number of phase vectors. In this paper, a suboptimal meta-heuristic algorithm for phase optimization based on Cuckoo Search algorithm is applied to search the optimal combination of phase vectors which provides best trade-off between the improved PAPR performance and computational complexity as compared to existing conventional T-PTS scheme for large number of sub-blocks. It enhances the accuracy and convergence rate of the conventional algorithms with very few parameters to adjust. Simulation results show that Cuckoo Search algorithm-based PTS (CS-PTS) algorithm is an efficient method to achieve significant reduction in PAPR.
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Keywords: CUCKOO SEARCH ALGORITHM; OFDM; PAPR; PTS

Document Type: Research Article

Publication date: March 1, 2016

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  • JOURNAL OF COMPUTATIONAL INTELLIGENCE AND ELECTRONIC SYSTEMS publishes emerging research in the areas of the computational intelligence and electronic systems. JCIES publishes in all areas of computational intelligence design and applications: applications oriented developments, successful industrial implementations, design tools, technology reviews, computational intelligence education, and applied research, specific emphasis on power electronics, embedded systems, semiconductor devices, analogue circuits, digital electronics, microwave and millimeter-wave techniques, wireless and optical communications, sensors, instrumentation and medical electronics much more.
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