TY - JOUR
T1 - SWAN
T2 - 2020 IEEE Global Communications Conference, GLOBECOM 2020
AU - Abanto-Leon, Luis F.
AU - Sim, Gek Hong Allyson
AU - Hollick, Matthias
AU - Boonkajay, Amnart
AU - Adachi, Fumiyuki
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020
Y1 - 2020
N2 - 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.
AB - 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.
KW - artificial intelligence.
KW - MIMO
KW - OFDM
KW - PAPR reduction
KW - swarm intelligence
UR - http://www.scopus.com/inward/record.url?scp=85098677401&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85098677401&partnerID=8YFLogxK
U2 - 10.1109/GLOBECOM42002.2020.9322272
DO - 10.1109/GLOBECOM42002.2020.9322272
M3 - Conference article
AN - SCOPUS:85098677401
SN - 2334-0983
JO - Proceedings - IEEE Global Communications Conference, GLOBECOM
JF - Proceedings - IEEE Global Communications Conference, GLOBECOM
M1 - 9322272
Y2 - 7 December 2020 through 11 December 2020
ER -