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arXiv · 2008.07600

SWAN: Swarm-Based Low-Complexity Scheme for PAPR Reduction

Luis F. Abanto-Leon·Gek Hong Sim·Matthias Hollick·Amnart Boonkajay·Fumiyuki Adachi
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Abstract

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

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Luis F. Abanto-Leon, Gek Hong Sim, Matthias Hollick, Amnart Boonkajay, Fumiyuki Adachi. 2020-08-17. SWAN: Swarm-Based Low-Complexity Scheme for PAPR Reduction. https://arxiv.org/abs/2008.07600

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