Tradeoff Between Calculation Precision and Information Rate in Eigendecomposition-Based Faster-Than-Nyquist Signaling

This study measured the achievable performance of the recently developed precoded faster-than-Nyquist (FTN) signaling scheme with truncated power allocation from an information-theoretic perspective. More specifically, the effects of the eigenvalue distribution of the FTN-specific inter-symbol inter...

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Veröffentlicht in:IEEE access 2020, Vol.8, p.223461-223471
Hauptverfasser: Masaki, Keita, Ishihara, Takumi, Sugiura, Shinya
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Sprache:eng
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Zusammenfassung:This study measured the achievable performance of the recently developed precoded faster-than-Nyquist (FTN) signaling scheme with truncated power allocation from an information-theoretic perspective. More specifically, the effects of the eigenvalue distribution of the FTN-specific inter-symbol interference matrix on the information rate were investigated. To explicitly evaluate the effects of significantly low eigenvalues, we performed 1024-bit eigendecomposition calculations, which are significantly more accurate than calculations in the standard double-precision environment. The results demonstrated a novel performance tradeoff between the information rate versus the calculation precision of a transmitted signal specific to the precoded FTN signaling scheme with truncated power allocation.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2020.3043244