Modified elite chaotic artificial fish swarm algorithm for PAPR reduction in OFDM systems

Jie Zhou, Eryk Dutkiewicz, Ren Ping Liu, Xiaojing Huang, Gengfa Fang, Yuanan Liu

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

Abstract

Orthogonal frequency division multiplexing (OFDM) is a leading technology in the field of broadband wireless communications. In OFDM systems, a high peak-to-average power ratio (PAPR) is a critical issue, which may cause a nonlinear distortion and reduce power efficiency. To reduce the PAPR, partial transmit sequences (PTS) technique can be applied to the transmit data. However, the phase factor sequence selection in PTS technique is a non-linear optimization problem and it suffers from high complexity and memory use when there is a large number of non-overlapping sub-blocks in one symbol. In this paper a novel modified elite chaotic artificial fish swarm algorithm for PTS method (MECAFSA-PTS) is proposed to generate the optimum phase factors. The MECAFSA-PTS method is evaluated with extensive simulations and its performance is compared with quantum evolutionary and selective mapping algorithms. Our results show that the proposed MECAFSA-PTS algorithm is efficient in PAPR reduction.

Original languageEnglish
Title of host publication14th International Symposium on Communications and Information Technologies, ISCIT 2014
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages503-507
Number of pages5
ISBN (Electronic)9781479944163, 9781479944170
ISBN (Print)9781479944156
DOIs
Publication statusPublished - 2014
Event14th International Symposium on Communications and Information Technologies, ISCIT 2014 - Incheon, Korea, Republic of
Duration: 24 Sep 201426 Sep 2014

Other

Other14th International Symposium on Communications and Information Technologies, ISCIT 2014
CountryKorea, Republic of
CityIncheon
Period24/09/1426/09/14

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