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SWAN Swarm-Based Low-Complexity Scheme for PAPR Reduction

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Document pages: 7 pages

Abstract: Cyclically shifted partial transmit sequences (CS-PTS) has conventionallybeen used in SISO systems for PAPR reduction of OFDM signals. Compared to othertechniques, CS-PTS attains superior performance. Nevertheless, due to theexhaustive search requirement, it demands excessive computational complexity.In this paper, we adapt CS-PTS to operate in a MIMO framework, where singularvalue decomposition (SVD) precoding is employed. We also propose SWAN, a noveloptimization method based on swarm intelligence to circumvent the exhaustivesearch. SWAN not only provides a significant reduction in computationalcomplexity, but it also attains a fair balance between optimality andcomplexity. Through simulations, we show that SWAN achieves near-optimalperformance at a much lower complexity than other competing approaches.

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