ENHANCING OTFS MODULATION FOR 6G THROUGH HYBRID PAPR REDUCTION TECHNIQUE FOR DIFFERENT SUB-CARRIERS

Aziz Nanthaamornphong, Arun Kumar, Hayam Alamro, Nuha Alruwais, Randa Allafi, Nadhem Nemri, Nishant Gaur and Mutasim Al Sadig
Additional contact information
Aziz Nanthaamornphong: College of Computing, Prince of Songkla University, Phuket, Thailand
Arun Kumar: ��Department of Electronics and Communication Engineering, New Horizon College of Engineering, Bengaluru, India
Hayam Alamro: ��Department of Information Systems, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P. O. Box 84428, Riyadh 11671, Saudi Arabia
Nuha Alruwais: �Department of Computer Science and Engineering, College of Applied Studies and Community Services, King Saud University, P. O. Box 22459, Riyadh 11495, Saudi Arabia
Randa Allafi: �Department of Computers and Information Technology, College of Sciences and Arts, Northern Border University, Arar, Saudi Arabia
Nadhem Nemri: ��Department of Information Systems, Applied College at Mahayil, King Khalid University, Abha, Saudi Arabia
Nishant Gaur: *Department of Physics, JECRC University, Jaipur, India
Mutasim Al Sadig: ��†Department of Computer Science, College of Science, Majmaah University, Al Majmaah 11952, Saudi Arabia

FRACTALS (fractals), 2024, vol. 32, issue 09n10, 1-22

Abstract: Peak-to-average power ratio (PAPR) in orthogonal time frequency space (OTFS) is vital for optimizing signal efficiency, minimizing distortion, and enhancing the performance of a beyond fifth-generation (B5G) system. The paper focuses on lowering the PAPR while retaining the bit error rate (BER) and power spectral density (PSD) for 64 and 256 sub-carriers. The PAPR is minimized by using a fractal optimization process known as selective mapping (SLM) and partial transmission sequence (PTS) at the transmitting block of the OTFS framework. The combination of SLM and PTS reduces peak power by selectively modifying the phase of transmitted symbols. SLM generates multiple versions of the signal, while PTS allocates power to these versions optimally, collectively mitigating amplitude peaks and minimizing PAPR. According to the simulation results, the suggested SLM+PTS works better than the traditional SLM and PTS, achieving low spectrum leakage and PAPR improvements of 5.5 dB and 4.9dB as well as SNR gains of 2.4dB and 2.1dB. In the future, SLM+PTS may work on lowering PAPR by making computers faster, researching adaptive algorithms, and combining machine learning methods for real-time optimization in various communication settings. Complex modeling, including fractal-based SLM and PTS approaches, provides a detailed understanding of waveform behavior and interference patterns, enabling more accurate and effective hybrid PAPR reduction techniques. This combination enhances the ability to manage to mitigate non-linear distortion across various sub-carriers, crucial for the performance and efficiency of 6G OTFS modulation.

Keywords: Fractal Hybrid Algorithm; Complex SLM-PTS Modelling; 6G Orthogonal Time Frequency Space Geometry; Non-linear PAPR; Bit Error Rate; Power Spectral Density (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1142/S0218348X25400146

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