PEAK TO AVERAGE POWER COMPUTING AND OPTIMIZATION OF OPTICAL OTFS 5G WAVEFORM USING HYBRID FRACTAL-BASED SIGNAL PROCESSING ALGORITHM

Arun Kumar, Mashael Maashi, Haya Mesfer Alshahrani, Munya A. Arasi, Abdulsamad Ebrahim Yahya, Aziz Nanthaamornphong, Jawhara Aljabri and Yazeed Alzahrani
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Arun Kumar: Department of Electronics and Communication Engineering, New Horizon College of Engineering, Bengaluru, India
Mashael Maashi: ��Department of Software Engineering, College of Computer and Information Sciences, King Saud University, P. O. Box 103786, Riyadh 11543, Saudi Arabia
Haya Mesfer Alshahrani: ��Department of Information Systems, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, P. O. Box 84428, Riyadh 11671, Saudi Arabia
Munya A. Arasi: �Department of Computer Science, Applied College at RijalAlmaa, King Khalid University, Saudi Arabia
Abdulsamad Ebrahim Yahya: �Department of Information Technology, College of Computing and Information Technology, Northern Border University, Arar, Saudi Arabia
Aziz Nanthaamornphong: ��College of Computing, Prince of Songkla University, Phuket, Thailand
Jawhara Aljabri: *Department of Computer Science, University College in Umluj, University of Tabuk, Saudi Arabia
Yazeed Alzahrani: ��†Department of Computer Engineering, College of Engineering in Wadi Addawasir, Prince Sattam Bin Abdulaziz University, Saudi Arabia

FRACTALS (fractals), 2024, vol. 32, issue 09n10, 1-13

Abstract: Optical orthogonal time frequency space (OTFS) is better at handling Doppler shifts and multipath fading, making signals more reliable and valuable in places with much movement beyond the fifth generation (B5G). Using practical power amplifiers at the transmitter causes power inefficiency and signal distortion because of the OTFS system’s high peak-to-average power ratio (PAPR), severely reducing system efficiency. Combining partial transmit sequence (PTS) and selective mapping (SLM), a technique known as PTS+SLM, reduces peak power. While SLM generates numerous phase-modulated signal candidates and chooses the one with the lowest PAPR, PTS separates the signal into sub-blocks and optimizes their phases to decrease peak power. With few changes to the signal structure, this dual strategy effectively reduces PAPR while improving power spectral density (PSD) efficiency. As a result, we ensure the accuracy and dependability of the transferred data by maintaining the bit error rate (BER). Fractal optimization methods could be applied to these algorithms. For example, fractal-inspired optimization techniques might be used to explore the phase space more effectively or to discover new phase sequences that result in lower PAPR. According to the simulation findings, the suggested PTS+SLM method works better than the traditional PTS and SLM methods.

Keywords: 5G; Optical OTFS; Fractal Signal Processing; PTS+SLM; PAPR; BER (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1142/S0218348X25400407

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