Paper Info
Title
SWAN: Swarm-Based Low-Complexity Scheme for PAPR Reduction
Abstract
Cyclically shifted partial transmit sequences (CSPTS) 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.
Year
DOI
Venue
2020
10.1109/GLOBECOM42002.2020.9322272
GLOBECOM
DocType
Citations 
PageRank 
Conference
0
0.34
References 
Authors
0
5
Name
Order
Citations
PageRank
Luis F. Abanto-Leon100.68
Gek Hong Sim2386.93
Matthias Hollick375097.29
Amnart Boonkajay400.34
Fumiyuki Adachi51588195.77