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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Language: | English |
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IEEE
2020-01-01
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Series: | IEEE Access |
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Online Access: | https://ieeexplore.ieee.org/document/9286516/ |
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author | Keita Masaki Takumi Ishihara Shinya Sugiura |
author_facet | Keita Masaki Takumi Ishihara Shinya Sugiura |
author_sort | Keita Masaki |
collection | DOAJ |
description | 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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format | Article |
id | doaj.art-1429a392beeb42f78277653d3f642977 |
institution | Directory Open Access Journal |
issn | 2169-3536 |
language | English |
last_indexed | 2024-12-16T16:56:44Z |
publishDate | 2020-01-01 |
publisher | IEEE |
record_format | Article |
series | IEEE Access |
spelling | doaj.art-1429a392beeb42f78277653d3f6429772022-12-21T22:23:51ZengIEEEIEEE Access2169-35362020-01-01822346122347110.1109/ACCESS.2020.30432449286516Tradeoff Between Calculation Precision and Information Rate in Eigendecomposition-Based Faster-Than-Nyquist SignalingKeita Masaki0https://orcid.org/0000-0001-9667-9043Takumi Ishihara1Shinya Sugiura2https://orcid.org/0000-0001-7736-8696Institute of Industrial Science, The University of Tokyo, Tokyo, JapanInstitute of Industrial Science, The University of Tokyo, Tokyo, JapanInstitute of Industrial Science, The University of Tokyo, Tokyo, JapanThis 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.https://ieeexplore.ieee.org/document/9286516/Capacityeigendecompositionfaster-than-Nyquist signalinginformation rateinformation-theoretic analysispower allocation |
spellingShingle | Keita Masaki Takumi Ishihara Shinya Sugiura Tradeoff Between Calculation Precision and Information Rate in Eigendecomposition-Based Faster-Than-Nyquist Signaling IEEE Access Capacity eigendecomposition faster-than-Nyquist signaling information rate information-theoretic analysis power allocation |
title | Tradeoff Between Calculation Precision and Information Rate in Eigendecomposition-Based Faster-Than-Nyquist Signaling |
title_full | Tradeoff Between Calculation Precision and Information Rate in Eigendecomposition-Based Faster-Than-Nyquist Signaling |
title_fullStr | Tradeoff Between Calculation Precision and Information Rate in Eigendecomposition-Based Faster-Than-Nyquist Signaling |
title_full_unstemmed | Tradeoff Between Calculation Precision and Information Rate in Eigendecomposition-Based Faster-Than-Nyquist Signaling |
title_short | Tradeoff Between Calculation Precision and Information Rate in Eigendecomposition-Based Faster-Than-Nyquist Signaling |
title_sort | tradeoff between calculation precision and information rate in eigendecomposition based faster than nyquist signaling |
topic | Capacity eigendecomposition faster-than-Nyquist signaling information rate information-theoretic analysis power allocation |
url | https://ieeexplore.ieee.org/document/9286516/ |
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