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...

Full description

Bibliographic Details
Main Authors: K.V.N. KAVITHA, KALA PRAVEEN BAGADI
Format: Article
Language:English
Published: Taylor's University 2018-04-01
Series:Journal of Engineering Science and Technology
Subjects:
Online Access:http://jestec.taylors.edu.my/Vol%2013%20issue%204%20April%202018/13_4_4.pdf
_version_ 1818516467941900288
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.
first_indexed 2024-12-11T00:42:40Z
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
record_format Article
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