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A Computationally Efficient Least Square Channel Estimation Method for MIMO-OFDM Systems

The 5th generation of cellular system is expected to incur a huge traffic rise which would necessitate the adoption of an estimation method that is efficient but at the same time practical through easy implementation. Some of the most popular methods used in cellular communication for channel e...

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Main Authors: Ahmad, Hasan, Motakabber, S. M. A., Anwar, Farhat, Habaebi, Mohamed Hadi, Ibrahimy, Muhammad Ibn
Format: Conference or Workshop Item
Language:English
Published: IEEE 2021
Subjects:
TK5101 Telecommunication. Including telegraphy, radio, radar, television
Online Access:http://irep.iium.edu.my/91046/1/91046_A%20Computationally%20Efficient%20Least%20Square%20Channel.pdf
http://irep.iium.edu.my/91046/
https://ieeexplore.ieee.org/document/9467142
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spelling my.iium.irep.910462021-07-27T09:21:35Z http://irep.iium.edu.my/91046/ A Computationally Efficient Least Square Channel Estimation Method for MIMO-OFDM Systems Ahmad, Hasan Motakabber, S. M. A. Anwar, Farhat Habaebi, Mohamed Hadi Ibrahimy, Muhammad Ibn TK5101 Telecommunication. Including telegraphy, radio, radar, television The 5th generation of cellular system is expected to incur a huge traffic rise which would necessitate the adoption of an estimation method that is efficient but at the same time practical through easy implementation. Some of the most popular methods used in cellular communication for channel estimation are the Least Squares (LS) algorithm and the Minimum Mean Square Error (MMSE) algorithm. Both of them has their own merits and limitations. While LS estimation is simple to adopt and resource-friendly, its performance is par to MMSE, which requires channel statistics and is thus more impractical for the industry. In this paper, an efficient LS estimation method is proposed by minimising relative error or difference between each estimated channel coefficient from its actual value, which is often overlooked when considering overall error. It’s in turn, reduces the error per bit and eventually induces faster processing of data. Results on the proposed algorithm are demonstrated via bit error rate and mean square error comparison. IEEE 2021-07-01 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/91046/1/91046_A%20Computationally%20Efficient%20Least%20Square%20Channel.pdf Ahmad, Hasan and Motakabber, S. M. A. and Anwar, Farhat and Habaebi, Mohamed Hadi and Ibrahimy, Muhammad Ibn (2021) A Computationally Efficient Least Square Channel Estimation Method for MIMO-OFDM Systems. In: 2021 8th International Conference on Computer and Communication Engineering (ICCCE), 22-23 June 2021, IIUM. https://ieeexplore.ieee.org/document/9467142 10.1109/ICCCE50029.2021.9467142
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
topic TK5101 Telecommunication. Including telegraphy, radio, radar, television
spellingShingle TK5101 Telecommunication. Including telegraphy, radio, radar, television
Ahmad, Hasan
Motakabber, S. M. A.
Anwar, Farhat
Habaebi, Mohamed Hadi
Ibrahimy, Muhammad Ibn
A Computationally Efficient Least Square Channel Estimation Method for MIMO-OFDM Systems
description The 5th generation of cellular system is expected to incur a huge traffic rise which would necessitate the adoption of an estimation method that is efficient but at the same time practical through easy implementation. Some of the most popular methods used in cellular communication for channel estimation are the Least Squares (LS) algorithm and the Minimum Mean Square Error (MMSE) algorithm. Both of them has their own merits and limitations. While LS estimation is simple to adopt and resource-friendly, its performance is par to MMSE, which requires channel statistics and is thus more impractical for the industry. In this paper, an efficient LS estimation method is proposed by minimising relative error or difference between each estimated channel coefficient from its actual value, which is often overlooked when considering overall error. It’s in turn, reduces the error per bit and eventually induces faster processing of data. Results on the proposed algorithm are demonstrated via bit error rate and mean square error comparison.
format Conference or Workshop Item
author Ahmad, Hasan
Motakabber, S. M. A.
Anwar, Farhat
Habaebi, Mohamed Hadi
Ibrahimy, Muhammad Ibn
author_facet Ahmad, Hasan
Motakabber, S. M. A.
Anwar, Farhat
Habaebi, Mohamed Hadi
Ibrahimy, Muhammad Ibn
author_sort Ahmad, Hasan
title A Computationally Efficient Least Square Channel Estimation Method for MIMO-OFDM Systems
title_short A Computationally Efficient Least Square Channel Estimation Method for MIMO-OFDM Systems
title_full A Computationally Efficient Least Square Channel Estimation Method for MIMO-OFDM Systems
title_fullStr A Computationally Efficient Least Square Channel Estimation Method for MIMO-OFDM Systems
title_full_unstemmed A Computationally Efficient Least Square Channel Estimation Method for MIMO-OFDM Systems
title_sort computationally efficient least square channel estimation method for mimo-ofdm systems
publisher IEEE
publishDate 2021
url http://irep.iium.edu.my/91046/1/91046_A%20Computationally%20Efficient%20Least%20Square%20Channel.pdf
http://irep.iium.edu.my/91046/
https://ieeexplore.ieee.org/document/9467142
_version_ 1706956608216498176
score 13.211869

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