Publication:
Chicken swarm optimization for papr reduction of OFDM systems

datacite.subject.fosoecd::Engineering and technology::Electrical engineering, Electronic engineering, Information engineering::Electrical and electronic engineering
dc.contributor.authorQuah, Chee Syien
dc.date.accessioned2025-02-17T08:26:30Z
dc.date.available2025-02-17T08:26:30Z
dc.date.issued2023-08
dc.description.abstractOrthogonal Frequency Division Multiplexing (OFDM) is a multicarrier modulation technique to obtain high-speed transmission data rates for wireless communication. However, it also gives a high peak-to-average power ratio (PAPR). Therefore, numerous techniques have been proposed to overcome the PAPR problem while partial transmit sequence (PTS) is considered as an effective method for PAPR reduction. Furthermore, the PTS technique can be combined with another optimization algorithm to further improve its performance in terms of PAPR reduction. In this paper, a chicken swarm optimization (CSO) based PTS system was proposed to improve the PAPR performance of the OFDM system. Moreover, a new PTS system which combined the CSO and selective level mapping (SLM) techniques was proposed to improve the PAPR performance when number of sub-blocks is high. Matlab software is used in this project and the impact of the system parameters on the system performance was evaluated. The experimental results have shown that the proposed CSO-PTS system managed to reduce PAPR values by 3 - 5 dB while the conventional PTS system can only reduce the PAPR values by 2 – 4 dB. On the other hand, the proposed SLM-CSO-PTS system managed to reduced the PAPR values by 4 – 6 dB. The computational complexity of the proposed CSO-PTS system and SLM-CSO-PTS system are significantly lower than the computational complexity of conventional PTS system.
dc.identifier.urihttps://erepo.usm.my/handle/123456789/21083
dc.language.isoen
dc.titleChicken swarm optimization for papr reduction of OFDM systems
dc.typeResource Types::text::report::technical report
dspace.entity.typePublication
oairecerif.author.affiliationUniversiti Sains Malaysia
Files