Coded-GFDM for Reliable Communication in Underwater Acoustic Channels

The performance of the coded generalized frequency division multiplexing (GFDM) transceiver has been evaluated in a shallow underwater acoustic channel (UAC). Acoustic transmission is the scheme of choice for communication in UAC since radio waves suffer from absorption and light waves scatter. Alth...

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Main Authors: Mohsin Murad, Imran A. Tasadduq, Pablo Otero
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/22/7/2639
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author Mohsin Murad
Imran A. Tasadduq
Pablo Otero
author_facet Mohsin Murad
Imran A. Tasadduq
Pablo Otero
author_sort Mohsin Murad
collection DOAJ
description The performance of the coded generalized frequency division multiplexing (GFDM) transceiver has been evaluated in a shallow underwater acoustic channel (UAC). Acoustic transmission is the scheme of choice for communication in UAC since radio waves suffer from absorption and light waves scatter. Although orthogonal frequency division multiplexing (OFDM) has found its ground for multicarrier acoustic underwater communication, it suffers from high peak to average power ratio (PAPR) and out of band (OOB) emissions. We propose a coded-GFDM based multicarrier system since GFDM has a higher spectral efficiency compared to a traditional OFDM system. In doing so, we assess two block codes, namely Bose, Chaudari, and Hocquenghem (BCH) codes, Reed-Solomon (RS) codes, and several convolutional codes. We present the error performances of these codes when used with GFDM. Furthermore, we evaluate the performance of the proposed system using two equalizers: Matched Filter (MF) and Zero-Forcing (ZF). Simulation results show that among the various block coding schemes that we tested, BCH (31,6) and RS (15,3) give the best error performance. Among the convolutional codes that we tested, rate 1/4 convolutional codes give the best performance. However, the performance of BCH and RS codes is much better than the convolutional codes. Moreover, the performance of the ZF equalizer is marginally better than the MF equalizer. In conclusion, using the channel coding schemes with GFDM improves error performance manifolds thereby increasing the reliability of the GFDM system despite slightly higher complexity.
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spelling doaj.art-04e3679aa4e744b2a30d323669db27662023-12-01T00:02:33ZengMDPI AGSensors1424-82202022-03-01227263910.3390/s22072639Coded-GFDM for Reliable Communication in Underwater Acoustic ChannelsMohsin Murad0Imran A. Tasadduq1Pablo Otero2Telecommunication Engineering School, University of Malaga, 29071 Malaga, SpainDepartment of Computer Engineering, Umm Al-Qura University, Makkah 21955, Saudi ArabiaTelecommunication Engineering School, University of Malaga, 29071 Malaga, SpainThe performance of the coded generalized frequency division multiplexing (GFDM) transceiver has been evaluated in a shallow underwater acoustic channel (UAC). Acoustic transmission is the scheme of choice for communication in UAC since radio waves suffer from absorption and light waves scatter. Although orthogonal frequency division multiplexing (OFDM) has found its ground for multicarrier acoustic underwater communication, it suffers from high peak to average power ratio (PAPR) and out of band (OOB) emissions. We propose a coded-GFDM based multicarrier system since GFDM has a higher spectral efficiency compared to a traditional OFDM system. In doing so, we assess two block codes, namely Bose, Chaudari, and Hocquenghem (BCH) codes, Reed-Solomon (RS) codes, and several convolutional codes. We present the error performances of these codes when used with GFDM. Furthermore, we evaluate the performance of the proposed system using two equalizers: Matched Filter (MF) and Zero-Forcing (ZF). Simulation results show that among the various block coding schemes that we tested, BCH (31,6) and RS (15,3) give the best error performance. Among the convolutional codes that we tested, rate 1/4 convolutional codes give the best performance. However, the performance of BCH and RS codes is much better than the convolutional codes. Moreover, the performance of the ZF equalizer is marginally better than the MF equalizer. In conclusion, using the channel coding schemes with GFDM improves error performance manifolds thereby increasing the reliability of the GFDM system despite slightly higher complexity.https://www.mdpi.com/1424-8220/22/7/2639underwater acousticgeneralized frequency division multiplexingblock codesconvolutional codes
spellingShingle Mohsin Murad
Imran A. Tasadduq
Pablo Otero
Coded-GFDM for Reliable Communication in Underwater Acoustic Channels
Sensors
underwater acoustic
generalized frequency division multiplexing
block codes
convolutional codes
title Coded-GFDM for Reliable Communication in Underwater Acoustic Channels
title_full Coded-GFDM for Reliable Communication in Underwater Acoustic Channels
title_fullStr Coded-GFDM for Reliable Communication in Underwater Acoustic Channels
title_full_unstemmed Coded-GFDM for Reliable Communication in Underwater Acoustic Channels
title_short Coded-GFDM for Reliable Communication in Underwater Acoustic Channels
title_sort coded gfdm for reliable communication in underwater acoustic channels
topic underwater acoustic
generalized frequency division multiplexing
block codes
convolutional codes
url https://www.mdpi.com/1424-8220/22/7/2639
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AT imranatasadduq codedgfdmforreliablecommunicationinunderwateracousticchannels
AT pablootero codedgfdmforreliablecommunicationinunderwateracousticchannels