Phase linear regression model with adaptive modulation technique for filtered-orthogonal frequency division multiplexing

One of the applications of Orthogonal Frequency Division Multiplexing (OFDM) is teleconferencing as it has shown to have ten times better downlink response time compared to 3G. Despite the robustness against multi-path fading and ease of OFDM implementation, OFDM still suffers from high sidelobes in...

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Main Author:	Muhammad Razee, Akram
Format:	Thesis
Language:	English
Published:	2021
Subjects:	TK Electrical engineering Electronics Nuclear engineering TK5101-6720 Telecommunication
Online Access:	http://eprints.utm.my/106983/1/AkramMuhammadRazeePFTIR2021.pdf
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spelling	my-utm-ep.1069832024-08-28T09:40:39Z Phase linear regression model with adaptive modulation technique for filtered-orthogonal frequency division multiplexing 2021 Muhammad Razee, Akram TK Electrical engineering. Electronics Nuclear engineering TK5101-6720 Telecommunication One of the applications of Orthogonal Frequency Division Multiplexing (OFDM) is teleconferencing as it has shown to have ten times better downlink response time compared to 3G. Despite the robustness against multi-path fading and ease of OFDM implementation, OFDM still suffers from high sidelobes in frequency domain and high Bit Error Rate (BER). In the OFDM system, frequency mask regulation is adopted to overcome the issues, whereby a portion from both ends of the bandwidth is reserved as a frequency guard band. This thus degrades the spectral efficiency and does not reduce the Out of Band Emission. Therefore, the goals of this research are to investigate the impact of filter types, and design a new filter in the filtered-OFDM (f-OFDM) system. Initially, several Infinite Impulse Response (IIR): Butterworth, Chebyshev, Elliptic; and Finite Impulse Response (FIR): Equiripple, Bohman, and Hamming filters were evaluated in terms of magnitude response, phase response and group delay. The results showed that Elliptic and Butterworth achieved good performance in magnitude response and phase response for FIR and IIR, respectively. The Equirriple was applied by varying the filter order in f-OFDM under different modulation schemes and channel models. It was found that f-OFDM achieved BER 10−6 at 11.9 dB while OFDM 12.4 dB, particularly when Equiripple with 512th order was used. However, the complexity and group delay also increased. By using the results of the BER performance for the optimum Equiripple design in the f-OFDM, the link adaptation model was proposed. Next, because IIR is a non-linear phase filter, a new method called Phase Linear Regression Model, a combination of mean square error and best fit was proposed by considering the magnitude and phase responses in designing Butterworth for the f-OFDM waveform. The new IIR design with 5th order achieved BER 6.667 × 10−7 at SNR 12 dB, while Equirriple filter 1.552 × 10−5 at the same SNR and filter order for the Quadrature Phase Shift Keying modulation. In conclusion, the feasible type of IIR (Butterworth) and FIR filter (Equiripple) can improve the BER performance for the f-OFDM system compared with OFDM. The findings on the link adaption model as well as the new IIR filter should be further investigated for the multi-cell f-OFDM system 2021 Thesis http://eprints.utm.my/106983/ http://eprints.utm.my/106983/1/AkramMuhammadRazeePFTIR2021.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:156354?site_name=GlobalView&query=Phase+linear+regression+model+with+adaptive+modulation+technique+for+filtered-orthogonal+frequency+division+multiplexing&queryType=vitalDismax phd doctoral Universiti Teknologi Malaysia Razak Faculty of Technology and Informatics Orthogonal Frequency Division Multiplexing (OFDM). Bit Error Rate (BER). Infinite Impulse Response (IIR)
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TK Electrical engineering Electronics Nuclear engineering TK5101-6720 Telecommunication
spellingShingle	TK Electrical engineering Electronics Nuclear engineering TK5101-6720 Telecommunication Muhammad Razee, Akram Phase linear regression model with adaptive modulation technique for filtered-orthogonal frequency division multiplexing
description	One of the applications of Orthogonal Frequency Division Multiplexing (OFDM) is teleconferencing as it has shown to have ten times better downlink response time compared to 3G. Despite the robustness against multi-path fading and ease of OFDM implementation, OFDM still suffers from high sidelobes in frequency domain and high Bit Error Rate (BER). In the OFDM system, frequency mask regulation is adopted to overcome the issues, whereby a portion from both ends of the bandwidth is reserved as a frequency guard band. This thus degrades the spectral efficiency and does not reduce the Out of Band Emission. Therefore, the goals of this research are to investigate the impact of filter types, and design a new filter in the filtered-OFDM (f-OFDM) system. Initially, several Infinite Impulse Response (IIR): Butterworth, Chebyshev, Elliptic; and Finite Impulse Response (FIR): Equiripple, Bohman, and Hamming filters were evaluated in terms of magnitude response, phase response and group delay. The results showed that Elliptic and Butterworth achieved good performance in magnitude response and phase response for FIR and IIR, respectively. The Equirriple was applied by varying the filter order in f-OFDM under different modulation schemes and channel models. It was found that f-OFDM achieved BER 10−6 at 11.9 dB while OFDM 12.4 dB, particularly when Equiripple with 512th order was used. However, the complexity and group delay also increased. By using the results of the BER performance for the optimum Equiripple design in the f-OFDM, the link adaptation model was proposed. Next, because IIR is a non-linear phase filter, a new method called Phase Linear Regression Model, a combination of mean square error and best fit was proposed by considering the magnitude and phase responses in designing Butterworth for the f-OFDM waveform. The new IIR design with 5th order achieved BER 6.667 × 10−7 at SNR 12 dB, while Equirriple filter 1.552 × 10−5 at the same SNR and filter order for the Quadrature Phase Shift Keying modulation. In conclusion, the feasible type of IIR (Butterworth) and FIR filter (Equiripple) can improve the BER performance for the f-OFDM system compared with OFDM. The findings on the link adaption model as well as the new IIR filter should be further investigated for the multi-cell f-OFDM system
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Muhammad Razee, Akram
author_facet	Muhammad Razee, Akram
author_sort	Muhammad Razee, Akram
title	Phase linear regression model with adaptive modulation technique for filtered-orthogonal frequency division multiplexing
title_short	Phase linear regression model with adaptive modulation technique for filtered-orthogonal frequency division multiplexing
title_full	Phase linear regression model with adaptive modulation technique for filtered-orthogonal frequency division multiplexing
title_fullStr	Phase linear regression model with adaptive modulation technique for filtered-orthogonal frequency division multiplexing
title_full_unstemmed	Phase linear regression model with adaptive modulation technique for filtered-orthogonal frequency division multiplexing
title_sort	phase linear regression model with adaptive modulation technique for filtered-orthogonal frequency division multiplexing
granting_institution	Universiti Teknologi Malaysia
granting_department	Razak Faculty of Technology and Informatics
publishDate	2021
url	http://eprints.utm.my/106983/1/AkramMuhammadRazeePFTIR2021.pdf
_version_	1811772234369335296

Phase linear regression model with adaptive modulation technique for filtered-orthogonal frequency division multiplexing

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