Channel Estimation for LTE downlink

In LTE system, supporting high mobile user speed is one of the key of requirements. However, the channel variation in different mobility scenarios is a significant challenge to achieving this goal. The channel estimation is required at the receiver part to satisfy the good performance with channel v...

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Main Author:	Mohammed Al-Samman, Ahmed Mohammed
Format:	Thesis
Language:	English
Published:	2013
Subjects:	TK Electrical engineering Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/id/eprint/33096/1/AhmedMohammedMohammedMFKE2013.pdf
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id	my-utm-ep.33096
record_format	uketd_dc
spelling	my-utm-ep.330962017-09-13T06:35:03Z Channel Estimation for LTE downlink 2013-01 Mohammed Al-Samman, Ahmed Mohammed TK Electrical engineering. Electronics Nuclear engineering In LTE system, supporting high mobile user speed is one of the key of requirements. However, the channel variation in different mobility scenarios is a significant challenge to achieving this goal. The channel estimation is required at the receiver part to satisfy the good performance with channel variation. In this master thesis, I use the different estimators to estimate the channel at the LTE Downlink system with different scenarios. The LS block fading estimator use at low mobility where the channel is statistic during one subframe. When the user speed more than 20 km/h the LS block estimation degrade in MSE and throughput performance. The LS fast fading outperforms the LS block fading at the velocity more than 25 km/h. LS estimation can be simply implemented with low computational complexity, however the MSE performance is not satisfactory at the high mobility. The LMMSE method is optimum in minimizing the MSE of the channel estimates and in throughput performance.However, the algorithm contains matrix inverse operation and other complex operations which causes high computational complexity. To compatible between these different estimators with good performance and low complexity, the proposed method is used. This method combines three different type channel estimations which is termed Hybrid Linear Mean Square Error ( HLMSE). This proposed estimator is a hybrid of the Least Square (LS) estimator block for low mobility , LS fast fading estimator for moderate mobility and Linear Minimum Mean Square Error (LMMSE) estimator for high mobility. The performance of the HLMSE estimator compared with LS in terms of throughput and Mean Square Error(MSE) outperforms the LS in both throughput and MSE. The complexity of the HLMSE can be controlled by channel variation, which depends on mobility. 2013-01 Thesis http://eprints.utm.my/id/eprint/33096/ http://eprints.utm.my/id/eprint/33096/1/AhmedMohammedMohammedMFKE2013.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TK Electrical engineering Electronics Nuclear engineering
spellingShingle	TK Electrical engineering Electronics Nuclear engineering Mohammed Al-Samman, Ahmed Mohammed Channel Estimation for LTE downlink
description	In LTE system, supporting high mobile user speed is one of the key of requirements. However, the channel variation in different mobility scenarios is a significant challenge to achieving this goal. The channel estimation is required at the receiver part to satisfy the good performance with channel variation. In this master thesis, I use the different estimators to estimate the channel at the LTE Downlink system with different scenarios. The LS block fading estimator use at low mobility where the channel is statistic during one subframe. When the user speed more than 20 km/h the LS block estimation degrade in MSE and throughput performance. The LS fast fading outperforms the LS block fading at the velocity more than 25 km/h. LS estimation can be simply implemented with low computational complexity, however the MSE performance is not satisfactory at the high mobility. The LMMSE method is optimum in minimizing the MSE of the channel estimates and in throughput performance.However, the algorithm contains matrix inverse operation and other complex operations which causes high computational complexity. To compatible between these different estimators with good performance and low complexity, the proposed method is used. This method combines three different type channel estimations which is termed Hybrid Linear Mean Square Error ( HLMSE). This proposed estimator is a hybrid of the Least Square (LS) estimator block for low mobility , LS fast fading estimator for moderate mobility and Linear Minimum Mean Square Error (LMMSE) estimator for high mobility. The performance of the HLMSE estimator compared with LS in terms of throughput and Mean Square Error(MSE) outperforms the LS in both throughput and MSE. The complexity of the HLMSE can be controlled by channel variation, which depends on mobility.
format	Thesis
qualification_level	Master's degree
author	Mohammed Al-Samman, Ahmed Mohammed
author_facet	Mohammed Al-Samman, Ahmed Mohammed
author_sort	Mohammed Al-Samman, Ahmed Mohammed
title	Channel Estimation for LTE downlink
title_short	Channel Estimation for LTE downlink
title_full	Channel Estimation for LTE downlink
title_fullStr	Channel Estimation for LTE downlink
title_full_unstemmed	Channel Estimation for LTE downlink
title_sort	channel estimation for lte downlink
granting_institution	Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department	Faculty of Electrical Engineering
publishDate	2013
url	http://eprints.utm.my/id/eprint/33096/1/AhmedMohammedMohammedMFKE2013.pdf
_version_	1747816078400028672

Channel Estimation for LTE downlink

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