Optimizing PAPR performance for 6G OTFS waveform using adaptive genetic PTS method for Rician fading channels
Abstract This paper proposes a novel method for reducing the peak-to-average power ratio (PAPR) in orthogonal time–frequency space (OTFS) modulation over Rician fading channels using an adaptive genetic algorithm-based partial transmit sequence (AGA-PTS) technique. The PAPR is a significant challeng...
Saved in:
| Main Authors: | Arun Kumar, Aziz Nanthaamornphong, Nishant Gaur |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2025-07-01
|
| Series: | EURASIP Journal on Advances in Signal Processing |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13634-025-01234-7 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Optical OTFS waveform PAPR analysis for high order modulation employing CNN, DNN, and AE machine learning algorithms under a variety of channel scenarios
by: Arun Kumar, et al.
Published: (2025-08-01) -
A mathematical PAPR estimation of OTFS network using a machine learning SVM algorithm
by: Arun Kumar, et al.
Published: (2025-12-01) -
A Novel PAPR in OTFS Systems Through ISSA-PTS and ISPR Techniques
by: Gerges Mansour Salama, et al.
Published: (2024-01-01) -
Reducing PAPR in NOMA Waveforms Using Genetic-Enhanced PTS and SLM: A Low-Complexity Approach for Improved throughput, power spectral density, and Power Efficiency
by: Arun Kumar, et al.
Published: (2025-06-01) -
Optimized Multiplicative Pre-Distortion PAPR Reduction Scheme for OTFS Signals
by: Feiyang Liu, et al.
Published: (2025-01-01)