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Published in: Annals of Data Science 6/2022

18-05-2022

Application of New Companding Techniques on the DWT-Based SC-FDMA System

Authors: Amal Fawzy Abd El-Rahman, Mustafa M. Abd Elnaby, Salah Khamis, Sameh Napoleon, Fathi E. Abd El-Samie

Published in: Annals of Data Science | Issue 6/2022

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Abstract

Orthogonal Frequency Division Multiplexing (OFDM) is the most popular multicarrier communication technique, but its disadvantage is the large Peak-to-Average Power Ratio (PAPR). In recent years, different researchers presented several techniques to avoid this problem such as companding techniques. Moreover, the Single-Carrier Frequency Division Multiple Access (SC-FDMA) system is a popular system in mobile communications because of its advantage of low PAPR, but reducing its PAPR is still an open research issue. So, an extension of the work applied on OFDM to SC-FDMA is adopted in this paper to reduce the PAPR, while achieving a low Bit Error Rate (BER). New companding schemes are adopted in this paper with the help of the Discrete Wavelet Transform (DWT) in the presence of channel degradations for lowering the PAPR of the SC-FDMA system, while achieving a low BER.

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Metadata
Title
Application of New Companding Techniques on the DWT-Based SC-FDMA System
Authors
Amal Fawzy Abd El-Rahman
Mustafa M. Abd Elnaby
Salah Khamis
Sameh Napoleon
Fathi E. Abd El-Samie
Publication date
18-05-2022
Publisher
Springer Berlin Heidelberg
Published in
Annals of Data Science / Issue 6/2022
Print ISSN: 2198-5804
Electronic ISSN: 2198-5812
DOI
https://doi.org/10.1007/s40745-022-00413-9

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