Precoded faster-than-Nyquist signaling using optimal power allocation for OTFS

Fuente: arXiv
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Main Authors: Hong, Zekun, Sugiura, Shinya, Xu, Chao, Hanzo, Lajos
Format: Preprint
Published: 2024
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author Hong, Zekun
Sugiura, Shinya
Xu, Chao
Hanzo, Lajos
author_facet Hong, Zekun
Sugiura, Shinya
Xu, Chao
Hanzo, Lajos
contents A precoded orthogonal time frequency space (OTFS) modulation scheme relying on faster-than-Nyquist (FTN) transmission over doubly selective fading channels is {proposed}, which enhances the spectral efficiency and improves the Doppler resilience. We derive the input-output relationship of the FTN signaling in the delay-Doppler domain. Eigenvalue decomposition (EVD) is used for eliminating both the effects of inter-symbol interference and correlated additive noise encountered in the delay-Doppler domain to enable efficient symbol-by-symbol demodulation. Furthermore, the power allocation coefficients of individual frames are optimized for maximizing the mutual information under the constraint of the derived total transmit power. Our performance results demonstrate that the proposed FTN-based OTFS scheme can enhance the information rate while achieving a comparable BER performance to that of its conventional Nyquist-based OTFS counterpart that employs the same root-raised-cosine shaping filter.
format Preprint
id arxiv_https___arxiv_org_abs_2411_01244
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Precoded faster-than-Nyquist signaling using optimal power allocation for OTFS
Hong, Zekun
Sugiura, Shinya
Xu, Chao
Hanzo, Lajos
Signal Processing
Information Theory
A precoded orthogonal time frequency space (OTFS) modulation scheme relying on faster-than-Nyquist (FTN) transmission over doubly selective fading channels is {proposed}, which enhances the spectral efficiency and improves the Doppler resilience. We derive the input-output relationship of the FTN signaling in the delay-Doppler domain. Eigenvalue decomposition (EVD) is used for eliminating both the effects of inter-symbol interference and correlated additive noise encountered in the delay-Doppler domain to enable efficient symbol-by-symbol demodulation. Furthermore, the power allocation coefficients of individual frames are optimized for maximizing the mutual information under the constraint of the derived total transmit power. Our performance results demonstrate that the proposed FTN-based OTFS scheme can enhance the information rate while achieving a comparable BER performance to that of its conventional Nyquist-based OTFS counterpart that employs the same root-raised-cosine shaping filter.
title Precoded faster-than-Nyquist signaling using optimal power allocation for OTFS
topic Signal Processing
Information Theory
url https://arxiv.org/abs/2411.01244