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Advanced receiver design for multicarrier FTN signaling in 6G systems
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Advanced receiver design for multicarrier FTN signaling in 6G systems/ by Nan Wu, Yunsi Ma, Rongkun Jiang.
Author:
Wu, Nan.
other author:
Ma, Yunsi.
Published:
Singapore :Springer Nature Singapore : : 2025.,
Description:
xv, 184 p. :ill. (chiefly color), digital ; : 24 cm.;
Contained By:
Springer Nature eBook
Subject:
6G mobile communication systems. -
Online resource:
https://doi.org/10.1007/978-981-96-0730-3
ISBN:
9789819607303
Advanced receiver design for multicarrier FTN signaling in 6G systems
Wu, Nan.
Advanced receiver design for multicarrier FTN signaling in 6G systems
[electronic resource] /by Nan Wu, Yunsi Ma, Rongkun Jiang. - Singapore :Springer Nature Singapore :2025. - xv, 184 p. :ill. (chiefly color), digital ;24 cm.
Introduction of High Spectral Efficiency Communication Systems and Receiver Design -- Message Passing Receiver for SEFDM Signaling Over Multipath Channels -- Joint Channel Estimation and Equalization for Index-Modulated SEFDM Signaling -- Iterative Equalization for MFTN Signaling Under Known Channels -- Joint Channel Estimation and Equalization for MFTN Signaling -- Iterative Equalization for Index-Modulated MFTN Signaling -- Variational Inference-Based Iterative Receiver for Unified Non-Orthogonal Waveform (uNOW) -- Current Achievements and The Road Ahead.
This book focuses on the design of low-complexity iterative receivers in high spectral efficiency communication systems, especially under frequency-selective fading channels. Specifically, it combines multi-carrier faster-than-Nyquist (MFTN) signaling, spectrally efficient frequency division multiplexing (SEFDM), and index modulation (IM) to study the hybrid message passing based low-complexity iterative receivers, the frequency-domain joint channel estimation and equalization (FDJCEE) algorithm, and the vector approximate message passing (VAMP) based iterative equalization algorithms. These methods effectively address the challenges of symbol detection and channel estimation for MFTN signaling and significantly improve the spectral efficiency and bit error rate (BER) performance. This book is of a good reference for researchers, engineers, and students in the fields of wireless communications and signal processing.
ISBN: 9789819607303
Standard No.: 10.1007/978-981-96-0730-3doiSubjects--Topical Terms:
1416889
6G mobile communication systems.
LC Class. No.: TK5103.252
Dewey Class. No.: 621.38456
Advanced receiver design for multicarrier FTN signaling in 6G systems
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Introduction of High Spectral Efficiency Communication Systems and Receiver Design -- Message Passing Receiver for SEFDM Signaling Over Multipath Channels -- Joint Channel Estimation and Equalization for Index-Modulated SEFDM Signaling -- Iterative Equalization for MFTN Signaling Under Known Channels -- Joint Channel Estimation and Equalization for MFTN Signaling -- Iterative Equalization for Index-Modulated MFTN Signaling -- Variational Inference-Based Iterative Receiver for Unified Non-Orthogonal Waveform (uNOW) -- Current Achievements and The Road Ahead.
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This book focuses on the design of low-complexity iterative receivers in high spectral efficiency communication systems, especially under frequency-selective fading channels. Specifically, it combines multi-carrier faster-than-Nyquist (MFTN) signaling, spectrally efficient frequency division multiplexing (SEFDM), and index modulation (IM) to study the hybrid message passing based low-complexity iterative receivers, the frequency-domain joint channel estimation and equalization (FDJCEE) algorithm, and the vector approximate message passing (VAMP) based iterative equalization algorithms. These methods effectively address the challenges of symbol detection and channel estimation for MFTN signaling and significantly improve the spectral efficiency and bit error rate (BER) performance. This book is of a good reference for researchers, engineers, and students in the fields of wireless communications and signal processing.
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Engineering (SpringerNature-11647)
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