PAPR Analysis for MIMO FTN Signaling with Gaussian Symbols

TL;DR

This paper analyzes the peak-to-average power ratio (PAPR) in MIMO FTN signaling with Gaussian symbols, revealing its dependence on acceleration factor and power constraints, and showing that power allocation optimization does not affect PAPR.

Contribution

It provides a detailed analysis of PAPR behavior in MIMO FTN with Gaussian symbols, highlighting the impact of acceleration factor and power constraints, and clarifying the effect of power allocation.

Findings

PAPR mainly depends on acceleration factor and power constraint.

Power allocation optimization does not alter PAPR behavior.

PAPR increases with higher acceleration factors.

Abstract

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.