TechRxiv
ishihara2021icc.pdf (196.99 kB)
Download file

Precoded Faster-than-Nyquist Signaling with Optimal Power Allocation in Frequency-Selective Channel

Download (196.99 kB)
preprint
posted on 30.03.2021, 04:12 by Takumi Ishihara, Shinya SugiuraShinya Sugiura

In this paper, we propose eigen decomposition-precoded faster-than-Nyquist (FTN) signaling with power allocation in a frequency-selective fading channel. More specifically, we derive mutual information associated with the proposed FTN signaling. Then, the optimal power coefficients are calculated such that the derived mutual information is maximized. Our analytical performance results show that the proposed FTN signaling scheme achieves a higher information rate than the conventional FTN signaling scheme without relying on power allocation and the classic Nyquist-based signaling scheme, under the assumption that all the schemes employ a root-raised cosine shaping filter. Moreover, our numerical simulation results of the bit error ratio performance and the power spectral density demonstrate that the proposed FTN scheme outperforms the conventional Nyquist-based signaling scheme without sacrificing any bandwidth broadening.


Postprint accepted on 24 March 2021 for publication in IEEE International Conference on Communications Workshops (ICC Workshops), June 2021.

History

Email Address of Submitting Author

sugiura@iis.u-tokyo.ac.jp

ORCID of Submitting Author

0000-0001-7736-8696

Submitting Author's Institution

The University of Tokyo

Submitting Author's Country

Japan