A hybrid DE-optimized PTS scheme for PAPR and BER enhancement in optical OTFS waveform for 256-QAM modulation schemes
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Nidhi Gour
Abstract
Optical orthogonal time frequency space (O-OTFS) modulation provides resilient performance in doubly dispersive and high-mobility wireless channels by symbol mapping in the delay-Doppler plane. Like conventional multicarrier systems, OTFS has the drawback of high peak-to-average power ratio (PAPR), thus degrading power amplifier efficiency as well as causing nonlinear distortions. In this paper, a hybrid reduction scheme of PAPR is introduced by integrating the partial transmit sequence (PTS) method with a differential evolutionary (DE) optimization algorithm. The PTS approach partitions the OTFS time-frequency signal into subblocks and performs phase rotations, while DE minimizes the PAPR by optimizing the phase vector. Simulation results show that for 64, 256, and 512 subcarriers, the DE-PTS approach achieves PAPR reductions of about 4.9 dB, 5.8 dB, and 6.4 dB, respectively, at a CCDF of 10−3. Further, BER analysis indicates that DE-PTS achieves a reduced SNR to attain a BER of 10−3 from 19.2 dB (original OTFS) to 15.1 dB with a gain of 4.1 dB. These findings identify DE-PTS not only reduces PAPR dramatically but also improves BER performance without compromising system fidelity. The proposed methodology is computationally efficient and scalable and hence can be applied to real-time OTFS communication in future high-mobility wireless networks like 6G and vehicular communication.
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Research ethics: Not applicable.
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Informed consent: Not applicable.
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Author contributions: The authors have accepted responsibility for the entire content of this manuscript and approved its submission.
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Use of Large Language Models, AI and Machine Learning Tools: Not applicable.
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Conflict of interest: The authors state no conflict of interest.
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Research funding: Not applicable.
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Data availability: Not applicable.
References
1. Kumar, A, Nanthaamornphong, A, Gaur, N. Optimizing PAPR performance for 6G OTFS waveform using adaptive genetic PTS method for Rician fading channels. EURASIP J. Adv. Signal Process. 2025;2025:22. https://doi.org/10.1186/s13634-025-01234-7.Search in Google Scholar
2. Kumar, A, Chakravarty, S, Sao, C, Syed, TM, Nanthaamornphong, A. Peak to average power ratio est. and analysis in OTFS 6G waveform by using selective mapping algorithm. In: Southeast Con, Atlanta, GA, USA; 2024: pp. 1070–4. https://doi.org/10.1109/SoutheastCon52093.2024.10500077.Search in Google Scholar
3. Kumar, A, Gaur, N, Nanthaamornphong, A. A mathematical PAPR estimation of OTFS network using a machine learning SVM algorithm. Results Opt 2025;21:100834. https://doi.org/10.1016/j.rio.2025.100834.Search in Google Scholar
4. Kumar, A, Gaur, N, Nanthaamornphong, A. Optimizing PAPR, BER, and PSD efficiency: using phase factors generated by bacteria foraging algorithm for PTS and SLM methods. IEEE Access 2024;12:54964–77. https://doi.org/10.1109/ACCESS.2024.3389823.Search in Google Scholar
5. Kumar, A, Nanthaamornphong, A. Lowering the PAPR of the optical OTFS-based 6G radio with a hybrid PTS-PSO genetic approach. Discov Appl Sci 2024;6:574. https://doi.org/10.1007/s42452-024-06292-4.Search in Google Scholar
6. Mohammed, SK, Hadani, R, Chockalingam, A, Calderbank, R. OTFS − A mathematical foundation for communication and radar sensing in the delay-doppler domain. ETRI J 2024;46:595–603. https://doi.org/10.4218/etrij.2023-0142.Search in Google Scholar
7. Kumar, A, Sharma, H, Gaur, N, Nanthaamornphong, A. PAPR analysis in OTFS using the centre phase sequence matrix based PTS method. Results in Optics 2024;15:100664. https://doi.org/10.1016/j.rio.2024.100664.Search in Google Scholar
8. Mohamed, EM, Hussein, HS, Alnakhli, MA, Hashima, S. OTFS-based handover triggering in UAV networks. Drones 2025;9:185. https://doi.org/10.3390/drones9030185.Search in Google Scholar
9. Gopal, A, Reddy, DK, Chintagunta, S. Symbol interferometry and companding transform for PAPR reduction of OTFS signal. ETRI J 2024;46:595–603. https://doi.org/10.4218/etrij.2023-0142.Search in Google Scholar
10. Shang, H, Chen, R, Zhang, H, Ma, G, He, R, Ai, B, et al.. OTFS modulation and papr reduction for iot-railways. China Communications 2023;20:102–13. https://doi.org/10.23919/JCC.2023.01.009.Search in Google Scholar
11. Xiao, L, Li, S, Qian, Y, Chen, D, Jiang, T. An overview of OTFS for internet of things: concepts, benefits, and challenges. IEEE Internet Things J 2022;9:7596–618. https://doi.org/10.1109/JIOT.2021.3132606.Search in Google Scholar
12. Chen, X, Wang, H, Shao, S, Ren, G. A PAPR reduction SLM method for OTFS signals without transmitting side information. J Beijing Univ Posts Telecommun 2025;48:7–13. https://doi.org/10.13190/j.jbupt.2023-283.Search in Google Scholar
13. Hassan, ES. Three layer hybrid PAPR reduction method for NOMA-based FBMC-VLC networks. Opt Quant Electron 2024;56:890. https://doi.org/10.1007/s11082-024-06724-w.Search in Google Scholar
14. Rajasekaran, AS, Vameghestahbanati, M, Farsi, M, Yanikomeroglu, H, Saeedi, H. Resource allocation-based PAPR analysis in uplink SCMA-OFDM systems. IEEE Access 2019;7:162803–17. https://doi.org/10.1109/ACCESS.2019.2952071.Search in Google Scholar
15. Kumar, A, Nanthaamornphong, A. A beyond 5G OTFS waveform radio for smart hospital: PAPR reduction in OTFS using the cuckoo search–based PTS method. J Electr Comput Eng 2025;2025:1–17. https://doi.org/10.1155/jece/4053505.Search in Google Scholar
16. Singhal, S, Sharma, DK. A review and comparative analysis of PAPR reduction techniques of OFDM system. Wirel Pers Commun 2024;135:777–803. https://doi.org/10.1007/s11277-024-11074-7.Search in Google Scholar
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