Time Varying Channel Estimation for Amplify-and-Forward Relay Network
For high Doppler spread channel scenario, in this paper, we develop a channel estimation method for Orthogonal Frequency Division Multiple Access (OFDMA) based Amplifyand-Forward (AF) relay network. Specifically, using Basis Expansion Model (BEM) the fast time varying channels in Source-Relay a...
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Online Access: | http://umpir.ump.edu.my/id/eprint/10974/ http://umpir.ump.edu.my/id/eprint/10974/1/Time%20Varying%20Channel%20Estimation%20for%20Amplify-and-Forward%20Relay%20Network.pdf http://umpir.ump.edu.my/id/eprint/10974/7/fkee-2015-rabbi-Time%20Varying%20Channel.pdf |
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ump-109742018-02-21T06:24:17Z http://umpir.ump.edu.my/id/eprint/10974/ Time Varying Channel Estimation for Amplify-and-Forward Relay Network Rabbi, M. F. Yusnita, Rahayu Kamarul Hawari, Ghazali TK Electrical engineering. Electronics Nuclear engineering For high Doppler spread channel scenario, in this paper, we develop a channel estimation method for Orthogonal Frequency Division Multiple Access (OFDMA) based Amplifyand-Forward (AF) relay network. Specifically, using Basis Expansion Model (BEM) the fast time varying channels in Source-Relay and Relay-Destination links are approximated. Then a Least Square (LS) and a Linear MMSE (LMMSE) based algorithm is applied to estimate BEM coefficients which are used for channel reconstruction later. Then, we simulate some practical cases of user mobility. Simulation results indicate that the proposed estimators perform consistently in high Doppler spread scenario. 2015 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/10974/1/Time%20Varying%20Channel%20Estimation%20for%20Amplify-and-Forward%20Relay%20Network.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/10974/7/fkee-2015-rabbi-Time%20Varying%20Channel.pdf Rabbi, M. F. and Yusnita, Rahayu and Kamarul Hawari, Ghazali (2015) Time Varying Channel Estimation for Amplify-and-Forward Relay Network. In: Proceedings of the 4th International Conference on Computer Science & Computational Mathematics (ICCSCM 2015), 7-8 May 2015 , Langkawi, Kedah. pp. 527-531.. |
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TK Electrical engineering. Electronics Nuclear engineering |
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TK Electrical engineering. Electronics Nuclear engineering Rabbi, M. F. Yusnita, Rahayu Kamarul Hawari, Ghazali Time Varying Channel Estimation for Amplify-and-Forward Relay Network |
description |
For high Doppler spread channel scenario, in this
paper, we develop a channel estimation method for Orthogonal
Frequency Division Multiple Access (OFDMA) based Amplifyand-Forward (AF) relay network. Specifically, using Basis
Expansion Model (BEM) the fast time varying channels in
Source-Relay and Relay-Destination links are approximated.
Then a Least Square (LS) and a Linear MMSE (LMMSE)
based algorithm is applied to estimate BEM coefficients which are used for channel reconstruction later. Then, we simulate some practical cases of user mobility. Simulation results indicate that the proposed estimators perform consistently in high Doppler spread scenario. |
format |
Conference or Workshop Item |
author |
Rabbi, M. F. Yusnita, Rahayu Kamarul Hawari, Ghazali |
author_facet |
Rabbi, M. F. Yusnita, Rahayu Kamarul Hawari, Ghazali |
author_sort |
Rabbi, M. F. |
title |
Time Varying Channel Estimation for Amplify-and-Forward Relay Network |
title_short |
Time Varying Channel Estimation for Amplify-and-Forward Relay Network |
title_full |
Time Varying Channel Estimation for Amplify-and-Forward Relay Network |
title_fullStr |
Time Varying Channel Estimation for Amplify-and-Forward Relay Network |
title_full_unstemmed |
Time Varying Channel Estimation for Amplify-and-Forward Relay Network |
title_sort |
time varying channel estimation for amplify-and-forward relay network |
publishDate |
2015 |
url |
http://umpir.ump.edu.my/id/eprint/10974/ http://umpir.ump.edu.my/id/eprint/10974/1/Time%20Varying%20Channel%20Estimation%20for%20Amplify-and-Forward%20Relay%20Network.pdf http://umpir.ump.edu.my/id/eprint/10974/7/fkee-2015-rabbi-Time%20Varying%20Channel.pdf |
first_indexed |
2023-09-18T22:11:13Z |
last_indexed |
2023-09-18T22:11:13Z |
_version_ |
1777415040009240576 |