Low Complexity Message Passing Receiver for Faster-Than-Nyquist Signaling in Nonlinear Channels

Xiaojie WEN; Weijie YUAN; Dewei YANG; Nan WU; Jingming KUANG

doi:10.1109/ACCESS.2018.2878800

Low Complexity Message Passing Receiver for Faster-Than-Nyquist Signaling in Nonlinear Channels

Xiaojie WEN, Weijie YUAN, Dewei YANG^*, Nan WU, Jingming KUANG

^*Corresponding author for this work

Research output: Journal Publications › Journal Article (refereed) › peer-review

7 Citations (Scopus)

Abstract

The modern and future communication systems demand higher data rate exceeds current capabilities. Faster-than-Nyquist (FTN) signaling is a promising technique for the reason it can improve the spectral efficiency. This paper deals with the receiver design for FTN signaling equalization in nonlinear channels. To handle the correlated noise samples induced by FTN signaling, we use the auto-regressive process to model the colored noise. Moreover, due to the nonlinearities, the complexity of receiver becomes prohibitively high. To reduce the complexity, we linearize the Volterra model and formulate the considered system as linear system. Then, based on the factor graph and message passing framework, the FTN symbols are detected with low complexity. Simulation results show that the proposed low complexity receiver can achieve similar performance of Nyquist signaling while increase 25% data rate.

Original language	English
Article number	8515205
Pages (from-to)	68233-68241
Number of pages	9
Journal	IEEE Access
Volume	6
Early online date	30 Oct 2018
DOIs	https://doi.org/10.1109/ACCESS.2018.2878800
Publication status	Published - 2018
Externally published	Yes

Bibliographical note

This work was supported by the National Science Foundation of China under Grant 61401030, Grant 61771048, and Grant 61471037.

Keywords

colored noise
factor graph
Faster-than-Nyquist signaling
message passing
nonlinear channels
Volterra model

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10.1109/ACCESS.2018.2878800Licence: CC BY

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title = "Low Complexity Message Passing Receiver for Faster-Than-Nyquist Signaling in Nonlinear Channels",

abstract = "The modern and future communication systems demand higher data rate exceeds current capabilities. Faster-than-Nyquist (FTN) signaling is a promising technique for the reason it can improve the spectral efficiency. This paper deals with the receiver design for FTN signaling equalization in nonlinear channels. To handle the correlated noise samples induced by FTN signaling, we use the auto-regressive process to model the colored noise. Moreover, due to the nonlinearities, the complexity of receiver becomes prohibitively high. To reduce the complexity, we linearize the Volterra model and formulate the considered system as linear system. Then, based on the factor graph and message passing framework, the FTN symbols are detected with low complexity. Simulation results show that the proposed low complexity receiver can achieve similar performance of Nyquist signaling while increase 25% data rate.",

keywords = "colored noise, factor graph, Faster-than-Nyquist signaling, message passing, nonlinear channels, Volterra model",

author = "Xiaojie WEN and Weijie YUAN and Dewei YANG and Nan WU and Jingming KUANG",

note = "This work was supported by the National Science Foundation of China under Grant 61401030, Grant 61771048, and Grant 61471037.",

year = "2018",

doi = "10.1109/ACCESS.2018.2878800",

language = "English",

volume = "6",

pages = "68233--68241",

journal = "IEEE Access",

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T1 - Low Complexity Message Passing Receiver for Faster-Than-Nyquist Signaling in Nonlinear Channels

AU - WEN, Xiaojie

AU - YUAN, Weijie

AU - YANG, Dewei

AU - WU, Nan

AU - KUANG, Jingming

N1 - This work was supported by the National Science Foundation of China under Grant 61401030, Grant 61771048, and Grant 61471037.

PY - 2018

Y1 - 2018

N2 - The modern and future communication systems demand higher data rate exceeds current capabilities. Faster-than-Nyquist (FTN) signaling is a promising technique for the reason it can improve the spectral efficiency. This paper deals with the receiver design for FTN signaling equalization in nonlinear channels. To handle the correlated noise samples induced by FTN signaling, we use the auto-regressive process to model the colored noise. Moreover, due to the nonlinearities, the complexity of receiver becomes prohibitively high. To reduce the complexity, we linearize the Volterra model and formulate the considered system as linear system. Then, based on the factor graph and message passing framework, the FTN symbols are detected with low complexity. Simulation results show that the proposed low complexity receiver can achieve similar performance of Nyquist signaling while increase 25% data rate.

AB - The modern and future communication systems demand higher data rate exceeds current capabilities. Faster-than-Nyquist (FTN) signaling is a promising technique for the reason it can improve the spectral efficiency. This paper deals with the receiver design for FTN signaling equalization in nonlinear channels. To handle the correlated noise samples induced by FTN signaling, we use the auto-regressive process to model the colored noise. Moreover, due to the nonlinearities, the complexity of receiver becomes prohibitively high. To reduce the complexity, we linearize the Volterra model and formulate the considered system as linear system. Then, based on the factor graph and message passing framework, the FTN symbols are detected with low complexity. Simulation results show that the proposed low complexity receiver can achieve similar performance of Nyquist signaling while increase 25% data rate.

KW - colored noise

KW - factor graph

KW - Faster-than-Nyquist signaling

KW - message passing

KW - nonlinear channels

KW - Volterra model

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DO - 10.1109/ACCESS.2018.2878800

M3 - Journal Article (refereed)

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SN - 2169-3536

VL - 6

SP - 68233

EP - 68241

JO - IEEE Access

JF - IEEE Access

M1 - 8515205

ER -

Low Complexity Message Passing Receiver for Faster-Than-Nyquist Signaling in Nonlinear Channels

Abstract

Bibliographical note

Keywords

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