Time-Varying Channel Tracking for Amplify-and-Forward Relay Network in High Doppler Spread

Next generation wireless communication technologies such as wireless metropolitan area network, long-term evolution (LTE), and LTE advanced are designed to deploy cooperative relaying incorporated with orthogonal frequency division multiplexing system. In addition to the higher data rate, these tech...

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Main Authors:	Rabbi, M. F., Kamarul Hawari, Ghazali
Format:	Article
Language:	English
Published:	Springer 2017
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/18507/ http://umpir.ump.edu.my/id/eprint/18507/ http://umpir.ump.edu.my/id/eprint/18507/ http://umpir.ump.edu.my/id/eprint/18507/1/fkee-2017-rabbi-time%20varying%20channel1.pdf

id	ump-18507
recordtype	eprints
spelling	ump-185072018-02-28T03:44:11Z http://umpir.ump.edu.my/id/eprint/18507/ Time-Varying Channel Tracking for Amplify-and-Forward Relay Network in High Doppler Spread Rabbi, M. F. Kamarul Hawari, Ghazali TK Electrical engineering. Electronics Nuclear engineering Next generation wireless communication technologies such as wireless metropolitan area network, long-term evolution (LTE), and LTE advanced are designed to deploy cooperative relaying incorporated with orthogonal frequency division multiplexing system. In addition to the higher data rate, these technologies allow users to have a faster mobility than the previous standards. However, due to the fast movement, Doppler frequency causes the carrier frequency offset resulting in intercarrier interference. Modeling and estimating this type of channel play a vital role to fulfill the data rate requirement of the network. In this paper, we develop a high mobility channel estimation method for amplify-and-forward relay-based network. Specifically, we use basis expansion modeling (BEM) to capture the time variation of the channel. Using pilot symbols, the BEM coefficients are estimated by least square and linear minimum mean square error estimators to reconstruct the channel in both time and frequency domains. In addition to the estimators, Cramer–Rao lower bound has been derived as a benchmark of the estimation performance of the channel estimators. It has been shown that the time-domain channel estimation method is simpler and can approximate the channel more efficiently than frequency-domain estimation in very high Doppler spread scenario. Springer 2017 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/18507/1/fkee-2017-rabbi-time%20varying%20channel1.pdf Rabbi, M. F. and Kamarul Hawari, Ghazali (2017) Time-Varying Channel Tracking for Amplify-and-Forward Relay Network in High Doppler Spread. Iranian Journal of Science and Technology, Transactions of Electrical Engineering, 41 (2). pp. 131-143. ISSN 2228-6179 https://doi.org/10.1007/s40998-017-0024-6 doi: 10.1007/s40998-017-0024-6
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Rabbi, M. F. Kamarul Hawari, Ghazali Time-Varying Channel Tracking for Amplify-and-Forward Relay Network in High Doppler Spread
description	Next generation wireless communication technologies such as wireless metropolitan area network, long-term evolution (LTE), and LTE advanced are designed to deploy cooperative relaying incorporated with orthogonal frequency division multiplexing system. In addition to the higher data rate, these technologies allow users to have a faster mobility than the previous standards. However, due to the fast movement, Doppler frequency causes the carrier frequency offset resulting in intercarrier interference. Modeling and estimating this type of channel play a vital role to fulfill the data rate requirement of the network. In this paper, we develop a high mobility channel estimation method for amplify-and-forward relay-based network. Specifically, we use basis expansion modeling (BEM) to capture the time variation of the channel. Using pilot symbols, the BEM coefficients are estimated by least square and linear minimum mean square error estimators to reconstruct the channel in both time and frequency domains. In addition to the estimators, Cramer–Rao lower bound has been derived as a benchmark of the estimation performance of the channel estimators. It has been shown that the time-domain channel estimation method is simpler and can approximate the channel more efficiently than frequency-domain estimation in very high Doppler spread scenario.
format	Article
author	Rabbi, M. F. Kamarul Hawari, Ghazali
author_facet	Rabbi, M. F. Kamarul Hawari, Ghazali
author_sort	Rabbi, M. F.
title	Time-Varying Channel Tracking for Amplify-and-Forward Relay Network in High Doppler Spread
title_short	Time-Varying Channel Tracking for Amplify-and-Forward Relay Network in High Doppler Spread
title_full	Time-Varying Channel Tracking for Amplify-and-Forward Relay Network in High Doppler Spread
title_fullStr	Time-Varying Channel Tracking for Amplify-and-Forward Relay Network in High Doppler Spread
title_full_unstemmed	Time-Varying Channel Tracking for Amplify-and-Forward Relay Network in High Doppler Spread
title_sort	time-varying channel tracking for amplify-and-forward relay network in high doppler spread
publisher	Springer
publishDate	2017
url	http://umpir.ump.edu.my/id/eprint/18507/ http://umpir.ump.edu.my/id/eprint/18507/ http://umpir.ump.edu.my/id/eprint/18507/ http://umpir.ump.edu.my/id/eprint/18507/1/fkee-2017-rabbi-time%20varying%20channel1.pdf
first_indexed	2023-09-18T22:26:15Z
last_indexed	2023-09-18T22:26:15Z
_version_	1777415985932795904

Time-Varying Channel Tracking for Amplify-and-Forward Relay Network in High Doppler Spread

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