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15763

PERFORMANCE EVALUATION OF HYBRID PTS-SLM TECHNIQUES VERSUS CONVENTIONAL PTS

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Last updated: 22 Jan 2023

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Abstract

Orthogonal Frequency Division Multiplexing (OFDM) is an attractive technique for wireless
communication over frequency-selective fading channels. Suffer from high Peak-to-Average Power
Ratio (PAPR) limiting OFDM usage and reduces the efficiency of High Power Amplifier (HPA) or
worse degrade BER. Many PAPR reduction techniques have been proposed in the literature, among
them Partial Transmit Sequence (PTS) and Selected Mapping (SLM) are highly successful PAPR
reduction techniques. However, the highly computational complexities of these techniques limit their
PAPR reduction capability. Recently different hybrid schemes combine PTS and SLM aim to reduce the
computational complexity or obtain a better PAPR reduction performance compared with conventional
PTS. In this paper, a fairly comparison between PTS and the other hybrid techniques is done,
considering technique that can reduce number of required additions and multiplications or at least one
of them less than PTS, as the best technique among others. Results show that only SH which can
achieve this condition while the other hybrid techniques can't achieve that.

DOI

10.21608/ijicis.2014.15763

Authors

First Name

I

Last Name

Tarrad

MiddleName

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Affiliation

Electrical Engineering Department, Faculty of Engineering, Al-Azhar University, Cairo- Egypt

Email

tarradif@gmail.com

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Orcid

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Volume

14

Article Issue

1

Related Issue

3407

Issue Date

2014-01-01

Receive Date

2018-10-03

Publish Date

2014-01-01

Page Start

37

Page End

50

Print ISSN

1687-109X

Online ISSN

2535-1710

Link

https://ijicis.journals.ekb.eg/article_15763.html

Detail API

https://ijicis.journals.ekb.eg/service?article_code=15763

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3

Type

Original Article

Type Code

494

Publication Type

Journal

Publication Title

International Journal of Intelligent Computing and Information Sciences

Publication Link

https://ijicis.journals.ekb.eg/

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Article

Created At

22 Jan 2023