COMPLEXITY REDUCED CHANNEL ESTIMATION IN WIMAX ENVIRONMENT FOR MIMO–OFDM SYSTEM
Multiple Input Multiple Output (MIMO) and Orthogonal Frequency Division Multiplexing (OFDM) are considered to be major methods for the ensuing high performance in next generation mobile communications. The undesirable effects on the transmitted signals need to be addressed and eliminated to improve...
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Taylor's University
2018-04-01
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Series: | Journal of Engineering Science and Technology |
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Online Access: | http://jestec.taylors.edu.my/Vol%2013%20issue%204%20April%202018/13_4_4.pdf |
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author | K.V.N. KAVITHA KALA PRAVEEN BAGADI |
author_facet | K.V.N. KAVITHA KALA PRAVEEN BAGADI |
author_sort | K.V.N. KAVITHA |
collection | DOAJ |
description | Multiple Input Multiple Output (MIMO) and Orthogonal Frequency Division Multiplexing (OFDM) are considered to be major methods for the ensuing high performance in next generation mobile communications. The undesirable effects on the transmitted signals need to be addressed and eliminated to improve the capacity of the systems. These effects depend on the physical
properties of the channel. Hence, there is a need to provide perfect estimate of the channel to counteract these effects and thereby delivering precise base-band processes at the receiving end of the system such as signal demodulation and decoding. In this paper, the channel between multiple antenna elements are
investigated and analysed for optimum technique with less complexity and less power requirement to estimate the characteristics of the channel. The bit error rate (BER) and normalised mean square error (NMSE) of the channels in
MIMO-OFDM systems are examined for different channel tracking techniques. The simulation results are measured to investigate the working of the system model with different algorithms over Worldwide Interoperability for Microwave Access channel. An efficient QRD method is suggested in this paper based on the available system resources and specifications. |
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format | Article |
id | doaj.art-013fc6aee44c404dac9867bf368fda6a |
institution | Directory Open Access Journal |
issn | 1823-4690 |
language | English |
last_indexed | 2024-12-11T00:42:40Z |
publishDate | 2018-04-01 |
publisher | Taylor's University |
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series | Journal of Engineering Science and Technology |
spelling | doaj.art-013fc6aee44c404dac9867bf368fda6a2022-12-22T01:26:52ZengTaylor's UniversityJournal of Engineering Science and Technology1823-46902018-04-01134875892COMPLEXITY REDUCED CHANNEL ESTIMATION IN WIMAX ENVIRONMENT FOR MIMO–OFDM SYSTEMK.V.N. KAVITHA0KALA PRAVEEN BAGADI1chool of Electronics Engineering, VIT University, Vellore, Tamil Nadu, Indiachool of Electronics Engineering, VIT University, Vellore, Tamil Nadu, IndiaMultiple Input Multiple Output (MIMO) and Orthogonal Frequency Division Multiplexing (OFDM) are considered to be major methods for the ensuing high performance in next generation mobile communications. The undesirable effects on the transmitted signals need to be addressed and eliminated to improve the capacity of the systems. These effects depend on the physical properties of the channel. Hence, there is a need to provide perfect estimate of the channel to counteract these effects and thereby delivering precise base-band processes at the receiving end of the system such as signal demodulation and decoding. In this paper, the channel between multiple antenna elements are investigated and analysed for optimum technique with less complexity and less power requirement to estimate the characteristics of the channel. The bit error rate (BER) and normalised mean square error (NMSE) of the channels in MIMO-OFDM systems are examined for different channel tracking techniques. The simulation results are measured to investigate the working of the system model with different algorithms over Worldwide Interoperability for Microwave Access channel. An efficient QRD method is suggested in this paper based on the available system resources and specifications.http://jestec.taylors.edu.my/Vol%2013%20issue%204%20April%202018/13_4_4.pdfMIMO-OFDMChannel EstimationWiMAXQR DecompositionBERNMSEComputational Complexity |
spellingShingle | K.V.N. KAVITHA KALA PRAVEEN BAGADI COMPLEXITY REDUCED CHANNEL ESTIMATION IN WIMAX ENVIRONMENT FOR MIMO–OFDM SYSTEM Journal of Engineering Science and Technology MIMO-OFDM Channel Estimation WiMAX QR Decomposition BER NMSE Computational Complexity |
title | COMPLEXITY REDUCED CHANNEL ESTIMATION IN WIMAX ENVIRONMENT FOR MIMO–OFDM SYSTEM |
title_full | COMPLEXITY REDUCED CHANNEL ESTIMATION IN WIMAX ENVIRONMENT FOR MIMO–OFDM SYSTEM |
title_fullStr | COMPLEXITY REDUCED CHANNEL ESTIMATION IN WIMAX ENVIRONMENT FOR MIMO–OFDM SYSTEM |
title_full_unstemmed | COMPLEXITY REDUCED CHANNEL ESTIMATION IN WIMAX ENVIRONMENT FOR MIMO–OFDM SYSTEM |
title_short | COMPLEXITY REDUCED CHANNEL ESTIMATION IN WIMAX ENVIRONMENT FOR MIMO–OFDM SYSTEM |
title_sort | complexity reduced channel estimation in wimax environment for mimo ofdm system |
topic | MIMO-OFDM Channel Estimation WiMAX QR Decomposition BER NMSE Computational Complexity |
url | http://jestec.taylors.edu.my/Vol%2013%20issue%204%20April%202018/13_4_4.pdf |
work_keys_str_mv | AT kvnkavitha complexityreducedchannelestimationinwimaxenvironmentformimoofdmsystem AT kalapraveenbagadi complexityreducedchannelestimationinwimaxenvironmentformimoofdmsystem |