PAPR Analysis for MIMO FTN Signaling with Gaussian Symbols

Fuente: arXiv
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Autores principales: Zhang, Zichao, Yuksel, Melda, Guvensen, Gokhan M., Yanikomeroglu, Halim
Formato: Preprint
Publicado: 2025
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author Zhang, Zichao
Yuksel, Melda
Guvensen, Gokhan M.
Yanikomeroglu, Halim
author_facet Zhang, Zichao
Yuksel, Melda
Guvensen, Gokhan M.
Yanikomeroglu, Halim
contents Faster-than-Nyquist signaling serves as a promising solution for improving spectral efficiency in future generations of communications. However, its nature of fast acceleration brings highly overlapped pulses that lead to worse peak-to-average power ratio (PAPR) performance. In this paper, we investigate the PAPR behavior of MIMO FTN using Gaussian symbols under optimal power allocation for two power constraints: fixed transmit power and fixed received signal-to-noise-ratio (SNR). Our findings reveal that PAPR is mainly determined by the acceleration factor and the power constraint, but power allocation optimization does not change the PAPR behavior for Gaussian signaling.
format Preprint
id arxiv_https___arxiv_org_abs_2507_15116
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle PAPR Analysis for MIMO FTN Signaling with Gaussian Symbols
Zhang, Zichao
Yuksel, Melda
Guvensen, Gokhan M.
Yanikomeroglu, Halim
Signal Processing
Information Theory
Faster-than-Nyquist signaling serves as a promising solution for improving spectral efficiency in future generations of communications. However, its nature of fast acceleration brings highly overlapped pulses that lead to worse peak-to-average power ratio (PAPR) performance. In this paper, we investigate the PAPR behavior of MIMO FTN using Gaussian symbols under optimal power allocation for two power constraints: fixed transmit power and fixed received signal-to-noise-ratio (SNR). Our findings reveal that PAPR is mainly determined by the acceleration factor and the power constraint, but power allocation optimization does not change the PAPR behavior for Gaussian signaling.
title PAPR Analysis for MIMO FTN Signaling with Gaussian Symbols
topic Signal Processing
Information Theory
url https://arxiv.org/abs/2507.15116