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

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...

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Main Authors:	Xiaojie Wen, Weijie Yuan, Dewei Yang, Nan Wu, Jingming Kuang
Format:	Article
Language:	English
Published:	IEEE 2018-01-01
Series:	IEEE Access
Subjects:	Faster-than-Nyquist signaling nonlinear channels Volterra model factor graph message passing colored noise
Online Access:	https://ieeexplore.ieee.org/document/8515205/

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spelling	doaj-78fdc707b3424843bbd50b2da7efa5d52021-03-29T20:28:59ZengIEEEIEEE Access2169-35362018-01-016682336824110.1109/ACCESS.2018.28788008515205Low Complexity Message Passing Receiver for Faster-Than-Nyquist Signaling in Nonlinear ChannelsXiaojie Wen0Weijie Yuan1https://orcid.org/0000-0002-2158-0046Dewei Yang2Nan Wu3Jingming Kuang4Beijing Institute of Satellite Information Engineering, Beijing, ChinaSchool of Information and Electronics, Beijing Institute of Technology, Beijing, ChinaSchool of Information and Electronics, Beijing Institute of Technology, Beijing, ChinaSchool of Information and Electronics, Beijing Institute of Technology, Beijing, ChinaSchool of Information and Electronics, Beijing Institute of Technology, Beijing, ChinaThe 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.https://ieeexplore.ieee.org/document/8515205/Faster-than-Nyquist signalingnonlinear channelsVolterra modelfactor graphmessage passingcolored noise
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Xiaojie Wen Weijie Yuan Dewei Yang Nan Wu Jingming Kuang
spellingShingle	Xiaojie Wen Weijie Yuan Dewei Yang Nan Wu Jingming Kuang Low Complexity Message Passing Receiver for Faster-Than-Nyquist Signaling in Nonlinear Channels IEEE Access Faster-than-Nyquist signaling nonlinear channels Volterra model factor graph message passing colored noise
author_facet	Xiaojie Wen Weijie Yuan Dewei Yang Nan Wu Jingming Kuang
author_sort	Xiaojie Wen
title	Low Complexity Message Passing Receiver for Faster-Than-Nyquist Signaling in Nonlinear Channels
title_short	Low Complexity Message Passing Receiver for Faster-Than-Nyquist Signaling in Nonlinear Channels
title_full	Low Complexity Message Passing Receiver for Faster-Than-Nyquist Signaling in Nonlinear Channels
title_fullStr	Low Complexity Message Passing Receiver for Faster-Than-Nyquist Signaling in Nonlinear Channels
title_full_unstemmed	Low Complexity Message Passing Receiver for Faster-Than-Nyquist Signaling in Nonlinear Channels
title_sort	low complexity message passing receiver for faster-than-nyquist signaling in nonlinear channels
publisher	IEEE
series	IEEE Access
issn	2169-3536
publishDate	2018-01-01
description	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.
topic	Faster-than-Nyquist signaling nonlinear channels Volterra model factor graph message passing colored noise
url	https://ieeexplore.ieee.org/document/8515205/
work_keys_str_mv	AT xiaojiewen lowcomplexitymessagepassingreceiverforfasterthannyquistsignalinginnonlinearchannels AT weijieyuan lowcomplexitymessagepassingreceiverforfasterthannyquistsignalinginnonlinearchannels AT deweiyang lowcomplexitymessagepassingreceiverforfasterthannyquistsignalinginnonlinearchannels AT nanwu lowcomplexitymessagepassingreceiverforfasterthannyquistsignalinginnonlinearchannels AT jingmingkuang lowcomplexitymessagepassingreceiverforfasterthannyquistsignalinginnonlinearchannels
_version_	1724194796934791168

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

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