Analysis of WOFDM over LTE 1.25 MHz Band

Orthogonal Frequency Division Multiplexing (OFDM) is the one of the most preferred multiplexing technique for realizing high-speed wireless communication, like Long Term Evolution (LTE) and LTE-Adv. In the era of digital wireless communication, applications of wavelet theory have been favorably appl...

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Main Authors: Sandeep Sarowa, Naresh Kumar, Ram Sewak Singh
Format: Article
Language:English
Published: Hindawi-Wiley 2020-01-01
Series:Wireless Communications and Mobile Computing
Online Access:http://dx.doi.org/10.1155/2020/8835879
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spelling doaj-871d6ebdeac445adb3ef9b92c8abdea12020-12-14T09:46:34ZengHindawi-WileyWireless Communications and Mobile Computing1530-86691530-86772020-01-01202010.1155/2020/88358798835879Analysis of WOFDM over LTE 1.25 MHz BandSandeep Sarowa0Naresh Kumar1Ram Sewak Singh2CERT-In, MeitY, IndiaUIET, PU, Chandigarh, IndiaASTU, Adama, EthiopiaOrthogonal Frequency Division Multiplexing (OFDM) is the one of the most preferred multiplexing technique for realizing high-speed wireless communication, like Long Term Evolution (LTE) and LTE-Adv. In the era of digital wireless communication, applications of wavelet theory have been favorably applied in many areas of signal processing. Orthogonality, flexible time-frequency analysis, and the ability to characterize signals accurately have attracted the attention of the telecommunication community to use wavelet as a basis function for OFDM. In this paper, discrete wavelet transform (DWT) has been proposed as an alternative signal analysis with multiple merits such as support high-speed applications, immune to distortion, wavelet diversity, better error performance, and efficient bandwidth utilization. A simulative analysis of various wavelets, at different modulation techniques, over OFDM has been presented to demonstrate the improvement in BER performance. Further, in accordance with the LTE parameterization over 1.25 MHz band, the performance of wavelet-based OFDM (WOFDM) is found significantly higher in terms of maximum achievable data rate and system spectral efficiency.http://dx.doi.org/10.1155/2020/8835879
collection DOAJ
language English
format Article
sources DOAJ
author Sandeep Sarowa
Naresh Kumar
Ram Sewak Singh
spellingShingle Sandeep Sarowa
Naresh Kumar
Ram Sewak Singh
Analysis of WOFDM over LTE 1.25 MHz Band
Wireless Communications and Mobile Computing
author_facet Sandeep Sarowa
Naresh Kumar
Ram Sewak Singh
author_sort Sandeep Sarowa
title Analysis of WOFDM over LTE 1.25 MHz Band
title_short Analysis of WOFDM over LTE 1.25 MHz Band
title_full Analysis of WOFDM over LTE 1.25 MHz Band
title_fullStr Analysis of WOFDM over LTE 1.25 MHz Band
title_full_unstemmed Analysis of WOFDM over LTE 1.25 MHz Band
title_sort analysis of wofdm over lte 1.25 mhz band
publisher Hindawi-Wiley
series Wireless Communications and Mobile Computing
issn 1530-8669
1530-8677
publishDate 2020-01-01
description Orthogonal Frequency Division Multiplexing (OFDM) is the one of the most preferred multiplexing technique for realizing high-speed wireless communication, like Long Term Evolution (LTE) and LTE-Adv. In the era of digital wireless communication, applications of wavelet theory have been favorably applied in many areas of signal processing. Orthogonality, flexible time-frequency analysis, and the ability to characterize signals accurately have attracted the attention of the telecommunication community to use wavelet as a basis function for OFDM. In this paper, discrete wavelet transform (DWT) has been proposed as an alternative signal analysis with multiple merits such as support high-speed applications, immune to distortion, wavelet diversity, better error performance, and efficient bandwidth utilization. A simulative analysis of various wavelets, at different modulation techniques, over OFDM has been presented to demonstrate the improvement in BER performance. Further, in accordance with the LTE parameterization over 1.25 MHz band, the performance of wavelet-based OFDM (WOFDM) is found significantly higher in terms of maximum achievable data rate and system spectral efficiency.
url http://dx.doi.org/10.1155/2020/8835879
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AT nareshkumar analysisofwofdmoverlte125mhzband
AT ramsewaksingh analysisofwofdmoverlte125mhzband
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