The evolution of faster-than-Nyquist signaling
The evolution of faster-than-Nyquist signaling
The fifty-year progress of faster-than-Nyquist (FTN) signaling is surveyed. FTN signaling exploits non-orthogonal dense symbol packing in the time domain for the sake of increasing the data rate attained. After reviewing the system models of both the conventional Nyquist-based and FTN signaling transceivers, we survey the evolution of FTN techniques, including their low-complexity detection and channel estimation. Furthermore, in addition to the classic FTN signaling philosophy, we introduce the recent frequency-domain filtering and precoding aided schemes. When relying on precoding, the information rate of FTN signaling becomes related to the eigenvalues of an FTN-specific intersymbol interference matrix, which provides a unified framework for the associated information-theoretic analysis and simplifies the associated power allocation specifically designed for increasing the information rate
attained. We show that the FTN signaling scheme combined with bespoke power allocation employing a realistic raised-cosine shaping filter achieves the Shannon capacity associated with ideal rectangular shaping filters.
Capacity, detection, faster-than-Nyquist signaling, interference, precoding
86535-86564
Ishihara, Takumi
d2f5e827-50a3-4ca4-9b94-381be1917af3
Sugiura, Shinya
acb6e7ea-eb0c-4b33-82c6-da8640be4233
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
2021
Ishihara, Takumi
d2f5e827-50a3-4ca4-9b94-381be1917af3
Sugiura, Shinya
acb6e7ea-eb0c-4b33-82c6-da8640be4233
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Ishihara, Takumi, Sugiura, Shinya and Hanzo, Lajos
(2021)
The evolution of faster-than-Nyquist signaling.
IEEE Access, 9, , [9453855].
(doi:10.1109/ACCESS.2021.3088997).
Abstract
The fifty-year progress of faster-than-Nyquist (FTN) signaling is surveyed. FTN signaling exploits non-orthogonal dense symbol packing in the time domain for the sake of increasing the data rate attained. After reviewing the system models of both the conventional Nyquist-based and FTN signaling transceivers, we survey the evolution of FTN techniques, including their low-complexity detection and channel estimation. Furthermore, in addition to the classic FTN signaling philosophy, we introduce the recent frequency-domain filtering and precoding aided schemes. When relying on precoding, the information rate of FTN signaling becomes related to the eigenvalues of an FTN-specific intersymbol interference matrix, which provides a unified framework for the associated information-theoretic analysis and simplifies the associated power allocation specifically designed for increasing the information rate
attained. We show that the FTN signaling scheme combined with bespoke power allocation employing a realistic raised-cosine shaping filter achieves the Shannon capacity associated with ideal rectangular shaping filters.
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FINAL Article
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Accepted/In Press date: 10 June 2021
Published date: 2021
Additional Information:
Funding Information:
The work of Takumi Ishihara was supported in part by the Japan Society for the Promotion of Science (JSPS) KAKENHI under Grant 20K22410. The work of Shinya Sugiura was supported in part by the JSPS KAKENHI under Grant 16KK0120, Grant 17H03259, and Grant 17K18871; and in part by Japan Science and Technology Agency (JST) Precursory Research for Embryonic Science and Technology (PRESTO) under Grant JPMJPR1933. The work of Lajos Hanzo was supported in part by the Engineering and Physical Sciences Research Council under Project EP/P034284/1 and Project EP/P003990/1 (COALESCE) and in part by the European Research Council's Advanced Fellow Grant QuantCom under Grant 789028.
Publisher Copyright:
© 2013 IEEE.
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
Keywords:
Capacity, detection, faster-than-Nyquist signaling, interference, precoding
Identifiers
Local EPrints ID: 449786
URI: http://eprints.soton.ac.uk/id/eprint/449786
ISSN: 2169-3536
PURE UUID: 411b3b68-eca6-4ad5-bfd0-6918b5a590e0
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Date deposited: 17 Jun 2021 16:31
Last modified: 18 Mar 2024 02:36
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Contributors
Author:
Takumi Ishihara
Author:
Shinya Sugiura
Author:
Lajos Hanzo
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