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

doi:10.1109/ISCIT.2014.7011964

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

School of Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-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 language	English
Title of host publication	14th International Symposium on Communications and Information Technologies, ISCIT 2014
Place of Publication	Piscataway, NJ
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	503-507
Number of pages	5
ISBN (Electronic)	9781479944163, 9781479944170
ISBN (Print)	9781479944156
DOIs	https://doi.org/10.1109/ISCIT.2014.7011964
Publication status	Published - 2014
Event	14th International Symposium on Communications and Information Technologies, ISCIT 2014 - Incheon, Korea, Republic of Duration: 24 Sept 2014 → 26 Sept 2014

Other

Other	14th International Symposium on Communications and Information Technologies, ISCIT 2014
Country/Territory	Korea, Republic of
City	Incheon
Period	24/09/14 → 26/09/14

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10.1109/ISCIT.2014.7011964

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Zhou, J., Dutkiewicz, E., Liu, R. P., Huang, X., Fang, G., & Liu, Y. (2014). Modified elite chaotic artificial fish swarm algorithm for PAPR reduction in OFDM systems. In 14th International Symposium on Communications and Information Technologies, ISCIT 2014 (pp. 503-507). Article 7011964 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ISCIT.2014.7011964

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title = "Modified elite chaotic artificial fish swarm algorithm for PAPR reduction in OFDM systems",

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.",

author = "Jie Zhou and Eryk Dutkiewicz and Liu, {Ren Ping} and Xiaojing Huang and Gengfa Fang and Yuanan Liu",

year = "2014",

doi = "10.1109/ISCIT.2014.7011964",

language = "English",

isbn = "9781479944156",

pages = "503--507",

booktitle = "14th International Symposium on Communications and Information Technologies, ISCIT 2014",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

note = "14th International Symposium on Communications and Information Technologies, ISCIT 2014 ; Conference date: 24-09-2014 Through 26-09-2014",

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Zhou, J, Dutkiewicz, E, Liu, RP, Huang, X, Fang, G & Liu, Y 2014, Modified elite chaotic artificial fish swarm algorithm for PAPR reduction in OFDM systems. in 14th International Symposium on Communications and Information Technologies, ISCIT 2014., 7011964, Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, pp. 503-507, 14th International Symposium on Communications and Information Technologies, ISCIT 2014, Incheon, Korea, Republic of, 24/09/14. https://doi.org/10.1109/ISCIT.2014.7011964

Modified elite chaotic artificial fish swarm algorithm for PAPR reduction in OFDM systems. / Zhou, Jie; Dutkiewicz, Eryk; Liu, Ren Ping et al.
14th International Symposium on Communications and Information Technologies, ISCIT 2014. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2014. p. 503-507 7011964.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

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T1 - Modified elite chaotic artificial fish swarm algorithm for PAPR reduction in OFDM systems

AU - Zhou, Jie

AU - Dutkiewicz, Eryk

AU - Liu, Ren Ping

AU - Huang, Xiaojing

AU - Fang, Gengfa

AU - Liu, Yuanan

PY - 2014

Y1 - 2014

N2 - 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.

AB - 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.

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M3 - Conference proceeding contribution

SN - 9781479944156

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EP - 507

BT - 14th International Symposium on Communications and Information Technologies, ISCIT 2014

PB - Institute of Electrical and Electronics Engineers (IEEE)

CY - Piscataway, NJ

T2 - 14th International Symposium on Communications and Information Technologies, ISCIT 2014

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ER -

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

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