Open AccessTradeoff Between Calculation Precision and Information Rate in Eigendecomposition-Based Faster-Than-Nyquist Signaling
Author(s) -
Keita Masaki,
Takumi Ishihara,
Shinya Sugiura
Publication year - 2020
Publication title -
ieee access
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.587
H-Index - 127
ISSN - 2169-3536
DOI - 10.1109/access.2020.3043244
Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation
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.
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