Open Access
SCA-GWO: A Hybrid Optimization Method Based on the PTS Technique for PAPR Mitigation in OFDM Systems
Taba Somia1*, Benchana Mohamed Amine2, Redadaa Salah3, Ikni Samir4
1Université 8 Mai 1945, Guelma, Algeria
2Université 8 Mai 1945, Guelma, Algeria
3Université 8 Mai 1945, Guelma, Algeria
4Université 8 Mai 1945, Guelma, Algeria
* Corresponding author: taba.somia@univ-guelma.dz

Presented at the Cognitive Models and Artificial Intelligence Conference (BMYZ2023), Ankara, Türkiye, Oct 26, 2023

SETSCI Conference Proceedings, 2023, 15, Page (s): 104-109 , https://doi.org/10.36287/setsci.6.1.028

Published Date: 29 December 2023    | 188     4

Abstract

This work suggests a newly developed partial transmit sequence (PTS) approach consisting of the hybridization of two efficient algorithms, namely, the grey wolf optimization (GWO) algorithm and the sine cosine algorithm (SCA). The SCAGWO-based PTS technique is investigated to conquer the exponentially increasing computational load of the ordinary PTS technique. The SCA searches for an initial global solution provided to the GWO to increase the wolves’ diversity, emphasize exploration, and, thus, avoid less efficient local solutions. The combined SCA-GWO is a balanced optimization variant used in the PTS technique to search for a salient combination of phase factors, which diminishes the peak-to-average power ratio (PAPR) effectively within a very reduced search complexity. The obtained results prove the superiority of the investigated approach in terms of PAPR mitigation and computational load. The SCA-GWO technique minimizes the orthogonal frequency division multiplexing (OFDM) system's PAPR by a rate of 46.07% while representing only 7.32% of the PTS’ complexity. A comparison with the state-of-the-art techniques also demonstrates the effective performance of the proposed SCA-GWO in lowering PAPR levels. The SCA-GWO outperforms the whale optimization algorithm (WOA), the genetic algorithm (GA), the harmony search optimization (HSA), and the ant lions optimization (ALO).

Keywords - OFDM, PAPR reduction, PTS, Search complexity, SCA, GWO

References

R. Prasad. OFDM for wireless communications systems. Artech House; 2004.

R. W. Chang, and R. Gibby, “A theoretical study of performance of an orthogonal multiplexing data transmission scheme”, IEEE transactions on Communication Technology, Vol. 16, No. 4, pp. 529-540, 1968.

R. O'Neill, and L. B. Lopes, “Envelope variations and spectral splatter in clipped multicarrier signals”, In Proceedings of 6th International Symposium on Personal, Indoor and Mobile Radio Communications, Vol. 1, pp. 71-75. IEEE, 1995, September.

V. Tarokh, and H. Jafarkhani, “On the computation and reduction of the peak-to-average power ratio in multicarrier communications”, IEEE Transactions on Communications, Vol. 48, No. 1, pp. 37-44, 2000.

Y. Rahmatallah, S. Mohan, “Peak-to-average power ratio reduction in OFDM systems: a survey and taxonomy”, IEEE Commun Surv Tutor, Vol. 15, No. 4, pp. 1567–92, 2013.

S. Peng S, Z. Yuan, “A novel criterion for designing of nonlinear companding functions for peak-to-average power ratio reduction in multicarrier transmis- sion systems”, Wirel Netw, Vol. 24, No. 2, pp. 581–95, 2018.

H. G. Myung, J. Lim, and D. J. Goodman, “Single carrier FDMA for uplink wireless transmission”, IEEE vehicular technology magazine, Vol. 1, No. 3, pp. 30-38, 2006.

T. H. Liang, H. C. Chu, C. B. Lin, “Peak-to-average power ratio reduction of orthogonal frequency division multiplexing systems using modified tone reservation techniques”, Int J Commun Syst, Vol. 29, No. 4, pp. 748–759, 2016.

W. Wang, M. Hu, Y. Li, H. Zhang, “A low-complexity tone injection scheme based on distortion signals for PAPR reduction in OFDM Systems”, IEEE Trans Broadcast, Vol. 62, No. 4, pp. 948–956, 2016

C. L. Wang, Y. Ouyang, “Low-complexity selected mapping schemes for peak-to-average power ratio reduction in OFDM systems”, IEEE

S. H. Müller, R. W. Bäuml, R. F. Fischer, J. B. Huber, “OFDM with reduced peak-to-average power ratio by multiple signal”.

Y. Yuan, S. Wei, X. Luo, Z. Xu, and Guan, X, “Adaptive PTS scheme based on fuzzy neural network for PAPR reduction in OFDM system”, Digital Signal Processing, Vol. 126, pp. 103492, 2022.

P. Gupta, H.P. Thethi,and A. Tomer, “An efficient and improved PTS algorithm for PAPR reduction in OFDM system”, International Journal of Electronics, Vol. 109, No. 7, pp. 1252-1277, 2022.Y. Yuan, S. Wei, X. Luo, Z. Xu, and Guan, X, “Adaptive PTS scheme based on fuzzy neural network for PAPR reduction in OFDM system”, Digital Signal Processing, Vol. 126, pp. 103492, 2022.

A. Goel and S. Gupta, “Side information embedding scheme for PTS based PAPR reduction in OFDM systems”, Alexandria Engineering Journal, Vol. 61, No. 12, pp. 11765-11777, 2022.

F. Hu, H. Xu, L. Jin, J. Liu, Z. Xia, G. Zhang, and J. Xiao, “Continuousunconstrained and global optimization for PSO-PTS based PAPR reduction of OFDM signals”, Physical Communication, Vol. 55, pp. 101825, 2022.

A. Azeez, and S. Tarannum, “Multi-Objective Mayfly Optimization in Phase Optimization of OFDM”, IIUM Engineering Journal, Vol. 24, No. 1, pp. 106-121, 2023

Y. Lu, F. Hu, L. Jin, J. Liu, and G. Zhang, “Continuous unconstrained PSO‐PTS strategy to maximize HPA energy efficiency for FBMC‐OQAM systems”, IET Communications, Vol. 17, No. 5, pp. 614-631, 2023.

A. K. Abed, R. Mansoor, and A. K. Abed, “Particle Swarm Optimization-based dummy sub-carriers insertion for peak to average power ratio reduction in OFDM systems”, ICT Express, Vol. 8, No. 1, pp. 135-141, 2022.

K. Yadav, R.J. Abhilasha, and D. Sethi, “Analysis of PAPR Reduction in OFDM Using Hybrid ACO-PTS and Firefly-Based PTS Technique”, Journal of Optoelectronics Laser, Vol. 41, No. 9, pp. 148-161, 2022.

L. Amhaimar, A. Elyaakoubi, M. Bayjja, K. Attari, and S. Ahyoud, “A Comparison Study of PAPR Reduction in OFDM Systems Based on Swarm Intelligence Algorithms”, 2022.

S. Mirjalili, “SCA: a sine cosine algorithm for solving optimization problems”, Knowledge-based systems, Vol. 96, pp. 120-133, 2016.

S. Mirjalili, S. M. Mirjalili, and A. Lewis, “Grey wolf optimizer”, Advances in engineering software, Vol. 69, pp. 46-61, 2014..

T. Jiang, Y. Wu, “An overview: peak-to-average power ratio reduction techniques for OFDM signals”, IEEE Transactions on broadcasting, Vol. 54, No. 2, pp. 257–268, 2008.

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