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

Autor:	Abanto-Leon, Luis F., Sim, Gek Hong, Hollick, Matthias, Boonkajay, Amnart, Adachi, Fumiyuki
Rok vydání:	2020
Předmět:	Electrical Engineering and Systems Science - Signal Processing Computer Science - Information Theory
Druh dokumentu:	Working Paper
Popis:	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. Comment: IEEE GLOBECOM 2020
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2008.07600 Zobrazit plný text záznamu View this record from Arxiv