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Adaptive FTN signaling over rapidly-fading channels

Adaptive FTN signaling over rapidly-fading channels
Adaptive FTN signaling over rapidly-fading channels
The research of faster-than-Nyquist (FTN) signaling has reached a state of maturity for considering practical multipath fading channels, rather than idealized additive white Gaussian noise channels only. To overcome fast-fading multipath propagations, conventional FTN systems tend to rely on channel coding techniques for cleaning up the residual errors, rather than harnessing Doppler effect mitigation. To circumvent this limitation, we propose an adaptive transmit precoding (ATPC) method associated with FTN signaling for applications in fastfading multipath channels. Upon leveraging real-time channel state information fed back by the receiver, ATPC updates the modulation matrix to improve resilience against Doppler frequency shifts. To mitigate the inter-block interference and multipath effect, a cyclic prefix is inserted at the beginning of each transmission frame. In addition, we employ decisiondirected successive interference cancellation for alleviating the inter-symbol interference stemming from FTN signaling and multipath effects. We also analyze the theoretical bit error rate (BER) performance and a pair of closed-form BER expressions are derived for extreme channel conditions, i.e., sufficiently large number of paths and sufficiently large Doppler frequency shift. Simulation results verify the effectiveness of the proposed ATPC method and demonstrate our performance improvements over conventional schemes.
0090-6778
Tong, Mingfei
e51f8148-9227-458f-a71a-8a9193178d2a
Huang, Xiaojing
dda503f6-c404-45f4-8129-dbf223d7cd1c
Zhang, J. Andrew
f73dfeb5-3593-4620-8893-d56cabf89c47
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Tong, Mingfei
e51f8148-9227-458f-a71a-8a9193178d2a
Huang, Xiaojing
dda503f6-c404-45f4-8129-dbf223d7cd1c
Zhang, J. Andrew
f73dfeb5-3593-4620-8893-d56cabf89c47
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1

Tong, Mingfei, Huang, Xiaojing, Zhang, J. Andrew and Hanzo, Lajos (2025) Adaptive FTN signaling over rapidly-fading channels. IEEE Transactions on Communications. (doi:10.1109/TCOMM.2025.3545655). (In Press)

Record type: Article

Abstract

The research of faster-than-Nyquist (FTN) signaling has reached a state of maturity for considering practical multipath fading channels, rather than idealized additive white Gaussian noise channels only. To overcome fast-fading multipath propagations, conventional FTN systems tend to rely on channel coding techniques for cleaning up the residual errors, rather than harnessing Doppler effect mitigation. To circumvent this limitation, we propose an adaptive transmit precoding (ATPC) method associated with FTN signaling for applications in fastfading multipath channels. Upon leveraging real-time channel state information fed back by the receiver, ATPC updates the modulation matrix to improve resilience against Doppler frequency shifts. To mitigate the inter-block interference and multipath effect, a cyclic prefix is inserted at the beginning of each transmission frame. In addition, we employ decisiondirected successive interference cancellation for alleviating the inter-symbol interference stemming from FTN signaling and multipath effects. We also analyze the theoretical bit error rate (BER) performance and a pair of closed-form BER expressions are derived for extreme channel conditions, i.e., sufficiently large number of paths and sufficiently large Doppler frequency shift. Simulation results verify the effectiveness of the proposed ATPC method and demonstrate our performance improvements over conventional schemes.

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Adaptive_FTN_Signaling_Over_Rapidly_Fading_Channels - Accepted Manuscript
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Accepted/In Press date: 18 February 2025

Identifiers

Local EPrints ID: 499303
URI: http://eprints.soton.ac.uk/id/eprint/499303
ISSN: 0090-6778
PURE UUID: 17f145b5-a5b7-4fd5-af8a-84a991dd10ec
ORCID for Lajos Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

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Date deposited: 14 Mar 2025 17:39
Last modified: 15 Mar 2025 02:33

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Contributors

Author: Mingfei Tong
Author: Xiaojing Huang
Author: J. Andrew Zhang
Author: Lajos Hanzo ORCID iD

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